72 Engineering Solutions jobs in India

Our client, an innovative technology company specializing in Internet of Things (IoT) solutions, is seeking a highly skilled and experienced Remote Electrical Engineering Lead to guide the development of their next-generation hardware products. This is a fully remote position, offering the flexibility to work from anywhere in India while leading critical hardware design and engineering efforts. You will be responsible for overseeing the electrical design of embedded systems, component selection, circuit design, and ensuring the functionality and reliability of IoT devices. The ideal candidate possesses strong leadership skills, a deep understanding of hardware engineering principles, and a proven ability to manage remote engineering teams.

Key Responsibilities:

• Lead the electrical engineering design and development of new IoT hardware products from concept to production.
• Design and develop schematics, printed circuit boards (PCBs), and embedded systems for various IoT applications.
• Select appropriate electronic components, considering performance, cost, and availability.
• Conduct thorough circuit analysis, simulation, and testing to ensure design integrity and functionality.
• Collaborate with firmware and software development teams to ensure seamless integration of hardware and software.
• Manage and mentor a team of electrical engineers, providing technical guidance and project oversight.
• Develop and maintain design documentation, including specifications, schematics, and Bill of Materials (BOM).
• Oversee the prototyping and testing phases of hardware development.
• Ensure compliance with relevant industry standards and certifications (e.g., FCC, CE).
• Troubleshoot and resolve hardware issues during development and production.
• Stay current with emerging technologies and trends in electrical engineering and IoT.
• Contribute to strategic technical planning and roadmap development for hardware products.

Qualifications:

• Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or a related field.
• Minimum of 7 years of progressive experience in electrical hardware design and development, with a focus on embedded systems and IoT.
• Proven experience in leading engineering teams and managing hardware development projects.
• Expertise in schematic capture and PCB layout tools (e.g., Altium Designer, Eagle).
• Strong understanding of microcontrollers, sensors, power management, and wireless communication technologies (e.g., Wi-Fi, Bluetooth, LoRa).
• Experience with analog and digital circuit design, simulation, and testing.
• Excellent problem-solving, analytical, and debugging skills.
• Strong leadership, communication, and interpersonal skills for effective remote team collaboration.
• Ability to work independently and manage multiple projects concurrently in a remote setting.
• Familiarity with firmware development concepts is a plus.

This is an exceptional remote opportunity for an experienced Electrical Engineering leader to drive innovation in the rapidly evolving IoT landscape, contributing from locations like Bhopal, Madhya Pradesh, IN .

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.

Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Your Career

As the Senior AI Engineering Manager, you will lead a talented team of 8 AI/ML engineers and data scientists based in India. You will be a critical leader within our global AI Enterprise Team, responsible for driving the technical vision, execution, and delivery of AI-powered solutions across Palo Alto Networks.

This is a hands-on leadership role where you will blend your deep technical expertise with your passion for mentoring and growing high-performing teams. You will partner closely with product managers, business stakeholders, and other engineering leaders to define the roadmap and deliver transformative AI initiatives. Your leadership will directly contribute to scaling our AI capabilities and embedding intelligence into the core of our business operations.

Your Impact

• Lead and Mentor: Manage and grow a team of 8 direct reports, fostering a culture of innovation, collaboration, and engineering excellence. Provide technical guidance, career development, and mentorship.
• Drive Technical Strategy: Define the technical roadmap and architecture for enterprise AI solutions, ensuring they are scalable, reliable, and aligned with business goals.
• Execute and Deliver: Oversee the end-to-end lifecycle of AI/ML projects, from ideation and model development to deployment and operational support in a fast-paced, agile environment.
• Collaborate and Influence: Work cross-functionally with teams across IT and the business to identify opportunities for AI, gather requirements, and ensure successful adoption of your team’s solutions.
• Champion Best Practices: Establish and promote best practices for MLOps, data governance, model validation, and the ethical use of AI.
  
  

Qualifications

Your Experience

• 10+ years of experience in software engineering, with at least 5 years in the AI/ML space.
• 3+ years of formal people management experience, with a proven track record of building and leading high-performing engineering teams.
• Strong technical background in machine learning, including experience with deep learning, NLP, predictive modeling, and data science.
• Proficiency with common AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python).
• Experience with MLOps principles and tools for building and deploying models at scale (e.g., Kubeflow, MLflow, Vertex AI, or similar platforms).
• Familiarity with cloud platforms (GCP, AWS, or Azure) and data engineering technologies (e.g., BigQuery, Spark, Kafka).
• Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
  
  

Additional Information

The Team

The AI Enterprise Team is a center of excellence within IT, dedicated to harnessing the power of artificial intelligence and machine learning to revolutionize our internal operations and enhance business outcomes. We build, deploy, and manage intelligent systems that automate processes, provide predictive insights, and create a more efficient, secure, and data-driven organization. We are a dynamic, forward-thinking team that thrives on solving complex challenges and delivering high-impact solutions.

Our Commitment

We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

**Job Description**
Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI and AI Solutions Engineering team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges.
In this role, you will:
+ Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.
+ Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.
+ Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision.
+ Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.
+ Ensure ethical and responsible AI practices in all solutions.
We're looking for a Senior Applied Scientist with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.
**Responsibilities**
As a Senior Applied Scientist in Oracle's OCI Gen AI & AI Solutions Engineering team, you'll shape the future of enterprise AI for our most strategic customers. You'll lead the design and delivery of next-generation generative AI and machine learning solutions leveraging cutting-edge technology and Oracle's enterprise-scale cloud to solve complex, high-impact problems in industries like finance, telecom, healthcare, and software development. Lead and mentor teams from concept to delivery, driving product quality and innovation. Design and implement high-quality code for experiments and production ML models. Collaborate with product and engineering teams to deliver customer-focused, market-differentiating AI solutions. Conduct independent R&D to advance state-of-the-art ML with a focus on fairness and explainability.
You will:
+ Partner closely with customers to understand their vision, define requirements, and deliver AI solutions that remove blockers and unlock value. Dive deep into model architectures to maximize performance, scalability, and reliability.
+ Build state-of-the-art solutions using emerging Gen AI and ML technologies.
+ Configure and optimize large-scale OpenSearch clusters, including ingestion pipelines for high-volume data.
+ Diagnose and resolve challenges in AI model training, deployment, and serving.
+ Create reusable solution patterns and reference architectures that accelerate adoption across multiple customers.
+ Act as a product evangelist-showcasing our innovations at customer meetings, industry events, and conferences.
+ Collaborate with world-class scientists, engineers, and product managers in a fast-moving, high-impact environment.
**Qualifications**
+ Bachelor's or Master's degree in Computer Science or related technical field, with 6+ years of experience in AI, ML, or data-driven solution development.
+ Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
+ Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
+ Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.
+ Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
+ Hands-on experience with NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LlamaIndex).
+ Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).
+ Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
+ Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
+ Collaborative mindset with experience working closely with product managers, engineers, and customers.
+ Ability to mentor and guide junior data scientists or ML engineers.
+ Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.
Career Level - IC3
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges.
In this role, you will:
+ Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.
+ Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.
+ Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision.
+ Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.
+ Ensure ethical and responsible AI practices in all solutions.
We're looking for a Principal Applied Data Scientist with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.
**Responsibilities**
As a Principal Applied Data Scientist in Oracle's OCI Gen AI & AI Solutions Engineering team, you'll shape the future of enterprise AI for our most strategic customers. You'll lead the design and delivery of next-generation generative AI and machine learning solutions-leveraging cutting-edge technology and Oracle's enterprise-scale cloud to solve complex, high-impact problems in industries like finance, telecom, healthcare, and software development. Lead and mentor teams from concept to delivery, driving product quality and innovation. Design and implement high-quality code for experiments and production ML models. Collaborate with product and engineering teams to deliver customer-focused, market-differentiating AI solutions. Conduct independent R&D to advance state-of-the-art ML with a focus on fairness and explainability.
You will:
+ Partner closely with customers to understand their vision, define requirements, and deliver AI solutions that remove blockers and unlock value. Dive deep into model architectures to maximize performance, scalability, and reliability.
+ Build state-of-the-art solutions using emerging Gen AI and ML technologies.
+ Configure and optimize large-scale OpenSearch clusters, including ingestion pipelines for high-volume data.
+ Diagnose and resolve challenges in AI model training, deployment, and serving.
+ Create reusable solution patterns and reference architectures that accelerate adoption across multiple customers.
+ Act as a product evangelist-showcasing our innovations at customer meetings, industry events, and conferences.
+ Collaborate with world-class scientists, engineers, and product managers in a fast-moving, high-impact environment.
**Qualifications**
+ Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.
+ Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
+ Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
+ Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.
+ Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
+ Hands-on experience with NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LlamaIndex).
+ Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).
+ Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
+ Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
+ Collaborative mindset with experience working closely with product managers, engineers, and customers.
+ Ability to mentor and guide junior data scientists or ML engineers.
+ Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description:**
.
**Lead Software Engineer - Enterprise Solutions & Transformation**
We are seeking an accomplished Lead Software Engineer with 15+ years of experience in IT and software development to architect, modernize, and deliver robust enterprise solutions. You will drive the transformation of legacy applications to modern cloud-native architectures, build and integrate scalable platforms, and champion best practices in DevOps, observability, and cross-functional collaboration. This technical leadership role is ideal for innovators passionate about enabling business agility through technology modernization and integration.
**Roles and Responsibilities**
+ Architect, design, develop, test, and document enterprise-grade software solutions, aligning with business needs, quality standards, and operational requirements.
+ Lead transformation and modernization efforts: Evaluate and migrate legacy systems to modern, scalable, and maintainable architectures leveraging cloud-native technologies and microservices.
+ Engineer integration solutions with platforms such as Apache Kafka, MuleSoft, and other middleware or messaging technologies to support seamless enterprise connectivity.
+ Define and implement end-to-end architectures for both new and existing systems, ensuring scalability, security, performance, and maintainability.
+ Collaborate with Solution and Enterprise Architects and portfolio stakeholders to analyze, plan, and realize features, enablers, and modernization roadmaps.
+ Work closely with infrastructure engineers to provision, configure, and optimize cloud resources, especially within Azure (AKS, Cosmos DB, Event Hub).
+ Champion containerization and orchestration using Docker and Azure Kubernetes Service (AKS) for efficient deployment and scaling.
+ Drive observability: Define and implement system monitoring, logging, and alerting strategies using tools such as Prometheus, Grafana, and ELK Stack.
+ Lead and participate in code and documentation reviews to uphold quality and engineering excellence.
+ Mentor and coach engineers and developers, fostering technical growth and knowledge sharing.
+ Troubleshoot and resolve complex issues across application, integration, and infrastructure layers.
+ Advocate and implement modern DevOps practices: Build and maintain robust CI/CD pipelines, Infrastructure-as-Code, and automated deployments.
+ Continuously evaluate and adopt new tools, technologies, and processes to improve system quality, delivery, and operational efficiency.
+ Translate business needs and legacy constraints into actionable technical requirements and provide accurate estimates for both new builds and modernization projects.
+ Ensure NFRs (scalability, security, availability, performance) are defined, implemented, and maintained across all solutions.
+ Collaborate cross-functionally with DevOps, support, and peer teams to ensure operational excellence and smooth transformation initiatives.
**Required Qualifications**
+ Bachelor's or master's degree in computer science, Information Systems, or a related field.
+ 15+ years of experience in IT and software development roles, with a track record of delivering enterprise-scale solutions.
+ 5+ years of hands-on experience building Java-based, high-volume/high-transaction applications.
+ 5+ years of experience with Java, Spring, and RESTful API development.
+ 3+ years of experience in modernizing legacy applications or leading transformation initiatives.
+ 3+ years of experience in performance tuning, application monitoring, and troubleshooting.
+ 3+ years of experience with integration platforms (Kafka, MuleSoft, RabbitMQ, etc.).
+ 2+ years of experience architecting solutions and leading technical design for enterprise systems.
+ Experience working with container orchestration, especially Azure Kubernetes Service (AKS).
**Preferred Qualifications**
+ 3+ years of experience in microservices architecture and system design.
+ 3+ years in technical leadership or mentoring roles.
+ 3+ years hands-on with cloud platforms (Azure, AWS, GCP, OpenStack).
+ Experience with cloud resource provisioning (ARM templates, Terraform, Ansible, Chef).
+ Strong DevOps skills: CI/CD pipelines with GitHub, Maven, Jenkins, Nexus, SonarQube.
+ Advanced knowledge of observability (Prometheus, Grafana, ELK).
+ Proficiency in Unix/Linux command line and shell scripting.
+ Expert in asynchronous messaging, stream processing, and event-driven architectures.
+ Experience in Agile/Scrum/Kanban environments.
+ Familiarity with front-end technologies (HTML5, JavaScript frameworks, CSS3).
+ Certifications in Java, Spring, Azure, or relevant integration/cloud technologies.
+ Excellent communication skills for both technical and business audiences.
**Technical Skills**
+ Languages & Frameworks: Java, Groovy, Spring (Boot, Cloud), REST
+ Integration & Messaging: Kafka, MuleSoft, RabbitMQ, MQ, Redis, Hazelcast
+ Legacy Modernization: Refactoring, rearchitecting, and migrating monolithic or legacy applications to modern platforms.
+ Databases: NoSQL (Cassandra, Cosmos DB), SQL
+ Monitoring & Observability: Prometheus, Grafana, ELK Stack
+ Orchestration: Docker, AKS (Azure Kubernetes Service)
+ Cloud Platforms: Azure (Event Hub, Cosmos DB, AKS), AWS, GCP, OpenStack
+ IaC & DevOps: Terraform, Ansible, Chef, Jenkins, Maven, Nexus, SonarQube, Git, Jira
+ Scripting & Front-End: Node.js, React.js, Python, R
**Why Join Us?**
+ Lead modernization and transformation of critical business systems to future-ready cloud architectures.
+ Architect and deliver enterprise-scale, highly integrated, observable solutions.
+ Mentor and inspire a talented engineering team.
+ Shape the organization's technical direction in cloud, integration, and DevOps.
+ Thrive in a collaborative, innovative, and growth-focused environment.
+ Enjoy competitive compensation and opportunities for career advancement.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

**Job Description:**
.
**Lead Software Engineer - Enterprise Solutions & Transformation**
We are seeking an accomplished Lead Software Engineer with 15+ years of experience in IT and software development to architect, modernize, and deliver robust enterprise solutions. You will drive the transformation of legacy applications to modern cloud-native architectures, build and integrate scalable platforms, and champion best practices in DevOps, observability, and cross-functional collaboration. This technical leadership role is ideal for innovators passionate about enabling business agility through technology modernization and integration.
**Roles and Responsibilities**
+ Architect, design, develop, test, and document enterprise-grade software solutions, aligning with business needs, quality standards, and operational requirements.
+ Lead transformation and modernization efforts: Evaluate and migrate legacy systems to modern, scalable, and maintainable architectures leveraging cloud-native technologies and microservices.
+ Engineer integration solutions with platforms such as Apache Kafka, MuleSoft, and other middleware or messaging technologies to support seamless enterprise connectivity.
+ Define and implement end-to-end architectures for both new and existing systems, ensuring scalability, security, performance, and maintainability.
+ Collaborate with Solution and Enterprise Architects and portfolio stakeholders to analyze, plan, and realize features, enablers, and modernization roadmaps.
+ Work closely with infrastructure engineers to provision, configure, and optimize cloud resources, especially within Azure (AKS, Cosmos DB, Event Hub).
+ Champion containerization and orchestration using Docker and Azure Kubernetes Service (AKS) for efficient deployment and scaling.
+ Drive observability: Define and implement system monitoring, logging, and alerting strategies using tools such as Prometheus, Grafana, and ELK Stack.
+ Lead and participate in code and documentation reviews to uphold quality and engineering excellence.
+ Mentor and coach engineers and developers, fostering technical growth and knowledge sharing.
+ Troubleshoot and resolve complex issues across application, integration, and infrastructure layers.
+ Advocate and implement modern DevOps practices: Build and maintain robust CI/CD pipelines, Infrastructure-as-Code, and automated deployments.
+ Continuously evaluate and adopt new tools, technologies, and processes to improve system quality, delivery, and operational efficiency.
+ Translate business needs and legacy constraints into actionable technical requirements and provide accurate estimates for both new builds and modernization projects.
+ Ensure NFRs (scalability, security, availability, performance) are defined, implemented, and maintained across all solutions.
+ Collaborate cross-functionally with DevOps, support, and peer teams to ensure operational excellence and smooth transformation initiatives.
**Required Qualifications**
+ Bachelor's or master's degree in computer science, Information Systems, or a related field.
+ 15+ years of experience in IT and software development roles, with a track record of delivering enterprise-scale solutions.
+ 5+ years of hands-on experience building Java-based, high-volume/high-transaction applications.
+ 5+ years of experience with Java, Spring, and RESTful API development.
+ 3+ years of experience in modernizing legacy applications or leading transformation initiatives.
+ 3+ years of experience in performance tuning, application monitoring, and troubleshooting.
+ 3+ years of experience with integration platforms (Kafka, MuleSoft, RabbitMQ, etc.).
+ 2+ years of experience architecting solutions and leading technical design for enterprise systems.
+ Experience working with container orchestration, especially Azure Kubernetes Service (AKS).
**Preferred Qualifications**
+ 3+ years of experience in microservices architecture and system design.
+ 3+ years in technical leadership or mentoring roles.
+ 3+ years hands-on with cloud platforms (Azure, AWS, GCP, OpenStack).
+ Experience with cloud resource provisioning (ARM templates, Terraform, Ansible, Chef).
+ Strong DevOps skills: CI/CD pipelines with GitHub, Maven, Jenkins, Nexus, SonarQube.
+ Advanced knowledge of observability (Prometheus, Grafana, ELK).
+ Proficiency in Unix/Linux command line and shell scripting.
+ Expert in asynchronous messaging, stream processing, and event-driven architectures.
+ Experience in Agile/Scrum/Kanban environments.
+ Familiarity with front-end technologies (HTML5, JavaScript frameworks, CSS3).
+ Certifications in Java, Spring, Azure, or relevant integration/cloud technologies.
+ Excellent communication skills for both technical and business audiences.
**Technical Skills**
+ Languages & Frameworks: Java, Groovy, Spring (Boot, Cloud), REST
+ Integration & Messaging: Kafka, MuleSoft, RabbitMQ, MQ, Redis, Hazelcast
+ Legacy Modernization: Refactoring, rearchitecting, and migrating monolithic or legacy applications to modern platforms.
+ Databases: NoSQL (Cassandra, Cosmos DB), SQL
+ Monitoring & Observability: Prometheus, Grafana, ELK Stack
+ Orchestration: Docker, AKS (Azure Kubernetes Service)
+ Cloud Platforms: Azure (Event Hub, Cosmos DB, AKS), AWS, GCP, OpenStack
+ IaC & DevOps: Terraform, Ansible, Chef, Jenkins, Maven, Nexus, SonarQube, Git, Jira
+ Scripting & Front-End: Node.js, React.js, Python, R
**Why Join Us?**
+ Lead modernization and transformation of critical business systems to future-ready cloud architectures.
+ Architect and deliver enterprise-scale, highly integrated, observable solutions.
+ Mentor and inspire a talented engineering team.
+ Shape the organization's technical direction in cloud, integration, and DevOps.
+ Thrive in a collaborative, innovative, and growth-focused environment.
+ Enjoy competitive compensation and opportunities for career advancement.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

Our client is seeking a highly skilled and experienced Senior Cloud Solutions Architect with a strong background in Electrical Engineering principles to join their innovative, fully remote team. In this role, you will be instrumental in designing, developing, and deploying scalable and robust cloud-based solutions that leverage electrical engineering concepts for various applications. You will work with cutting-edge cloud technologies and collaborate with a distributed team of engineers and product managers to deliver transformative solutions. This position demands a unique blend of expertise in cloud architecture, infrastructure, and a solid understanding of electrical systems, control theory, and signal processing. You will be responsible for architecting solutions that address complex challenges, optimize performance, and ensure the security and reliability of our cloud infrastructure.

Key responsibilities include:

• Designing and implementing end-to-end cloud solutions on major platforms (AWS, Azure, GCP) tailored for applications with electrical engineering requirements.
• Developing scalable, secure, and highly available cloud infrastructure, including compute, storage, networking, and database services.
• Translating complex electrical engineering requirements into well-defined technical specifications for cloud deployments.
• Architecting solutions for areas such as IoT data ingestion and processing, real-time control systems, sensor data analysis, and embedded systems integration in the cloud.
• Evaluating and recommending cloud services and technologies that best fit the project needs, with a focus on performance and cost-efficiency.
• Leading technical discussions, providing guidance to development teams, and ensuring adherence to architectural best practices.
• Developing and maintaining comprehensive architecture documentation, including diagrams, deployment plans, and operational procedures.
• Troubleshooting complex cloud infrastructure issues and implementing proactive measures to prevent future occurrences.
• Staying current with the latest advancements in cloud computing, electrical engineering, and related fields.

The ideal candidate will possess a Master's degree in Electrical Engineering or a closely related field, with a strong emphasis on system design and implementation, or a Bachelor's degree with equivalent extensive experience. A minimum of 7 years of experience in cloud architecture and solution design is required, with demonstrated experience integrating electrical engineering concepts into cloud solutions. Proficiency in at least one major cloud platform and experience with infrastructure as code (IaC) tools are essential. Strong understanding of networking protocols, cybersecurity principles, and experience with scripting/programming languages (e.g., Python, Bash) are highly valued. Excellent communication and collaboration skills are vital for success in this remote role.

**Job Description**
Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Solutions team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning and Generative AI technologies, aimed at addressing complex global challenges.
Join our OCI Gen-AI Solutions team to build cutting-edge AI applications that tackle global challenges. We're seeking an experienced Principal Machine Learning Engineer (IC4) to design, develop, and deploy customized Generative AI solutions for strategic customers focusing on Agentic solutions and Retrieval Augmented Generation (RAG). You'll work closely with applied scientists and product managers to turn innovation into real-world impact.
In this role, you will:
+ Design, build, and deploy cutting-edge machine learning and generative AI solutions, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.
+ Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.
+ Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.
+ Ensure ethical and responsible AI practices in all solutions.
We're looking for a Principal Machine Learning Engineer with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.
**Responsibilities**
As part of the **OCI Gen AI Solutions Engineering** for strategic customers team, you will be responsible for developing innovative Agentic workflows and solutions for our strategic customers. As a Principal member of the technical staff, you'll be part of the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.
+ Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.
+ Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance.
+ You will dive deep into model structure to optimize model performance and scalability.
+ You will build state of art solutions with brand new technologies in this fast-evolving area.
+ You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch.
+ You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.
+ Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.
+ Be an enthusiastic, self-motivated, and a great collaborator.
+ Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.
**Qualifications**
+ Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.
+ Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
+ Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
+ Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.
+ Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
+ Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).
+ Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).
+ Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
+ Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
+ Collaborative mindset with experience working closely with product managers, engineers, and customers.
+ Ability to mentor and guide junior data scientists or ML engineers.
+ Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Solutions team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning and Generative AI technologies, aimed at addressing complex global challenges.
Join our OCI Gen-AI Solutions team to build cutting-edge AI applications that tackle global challenges. We're seeking an experienced Principal Machine Learning Engineer (IC4) to design, develop, and deploy customized Generative AI solutions for strategic customers focusing on Agentic solutions and Retrieval Augmented Generation (RAG). You'll work closely with applied scientists and product managers to turn innovation into real-world impact.
In this role, you will:
+ Design, build, and deploy cutting-edge machine learning and generative AI solutions, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.
+ Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.
+ Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.
+ Ensure ethical and responsible AI practices in all solutions.
We're looking for a Principal Machine Learning Engineer with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.
**Responsibilities**
As part of the **OCI Gen AI Solutions Engineering** for strategic customers team, you will be responsible for developing innovative Agentic workflows and solutions for our strategic customers. As a Principal member of the technical staff, you'll be part of the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.
+ Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.
+ Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance.
+ You will dive deep into model structure to optimize model performance and scalability.
+ You will build state of art solutions with brand new technologies in this fast-evolving area.
+ You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch.
+ You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.
+ Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.
+ Be an enthusiastic, self-motivated, and a great collaborator.
+ Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.
**Qualifications**
+ Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.
+ Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
+ Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
+ Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.
+ Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
+ Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).
+ Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).
+ Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
+ Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
+ Collaborative mindset with experience working closely with product managers, engineers, and customers.
+ Ability to mentor and guide junior data scientists or ML engineers.
+ Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.