What Cybersecurity Specialist Jobs are in Chennai?

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**Job Summary**
We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI) systems. As an AI Architect, you will be responsible for defining application architectures for ML/GenAI solutions on cloud platforms & tools such as GCP, Vertex AI, IBM Watsonx, leading end-to-end design and implementation, and driving adoption of emerging technologies and frameworks across the organization.
This is a hands-on technical leadership role that requires deep expertise in AI/ML fundamentals, enterprise architecture design, and practical experience building production-grade AI/GenAI solutions. You will collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver scalable, secure, and innovative AI-powered systems that create measurable business value.
**Key Responsibilities**
+ Architect and design application and system architectures for ML/GenAI solutions on cloud platforms, tools (GCP, Vertex AI, IBM Watsonx).
+ Build, deploy, and maintain enterprise-scale AI/ML applications, ensuring they are production-ready, secure, and scalable.
+ Lead research and adoption of emerging AI/GenAI technologies, frameworks, and tools at the enterprise level.
+ Partner with product, engineering, and business teams to translate business challenges into robust AI/GenAI solutions.
+ Define end-to-end architecture for data pipelines, model development, deployment, monitoring, and retraining.
+ Promote and evangelize best practices in AI/ML system design, data governance, MLOps, and ethical/responsible AI.
+ Provide technical leadership and mentorship to AI/ML engineers and data scientists across business units.
+ Stay current with advances in AI/ML, GenAI, LLMs, and cloud-native architecture, and identify opportunities for adoption.
+ Define roadmaps and strategies that accelerate AI adoption and help the enterprise transition from descriptive to predictive and prescriptive analytics.
+ Collaborate with executives and cross-functional leaders to advocate AI/GenAI capabilities and drive enterprise-wide adoption.
**Required Qualifications**
**Education**
Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
**Experience**
+ 7+ years of experience designing, building, and deploying AI/ML solutions including monitoring, scaling, and optimization in production at enterprise scale.
+ Hands-on expertise in cloud platforms ( **GCP Vertex AI (preferred)** , AWS SageMaker, or Azure ML) and cloud-native application design.
+ Proven experience **designing enterprise-grade application architectures for ML/GenAI** workloads.
+ Strong programming skills in **Python,** Java, or C++, and proficiency with **ML/AI frameworks (PyTorch, TensorFlow, Keras)** .
+ Deep understanding of **ML/AI fundamentals** : statistical modeling, architectures, representation, reasoning, and generative models (LLMs, diffusion).
+ Hands on experience in one or more **ML domains** such as NLP, computer vision, or reinforcement learning.
+ Hands on experience in **MLOps practices and tools** (MLflow, TFX, Kubeflow, CI/CD pipelines, model monitoring).
+ Strong knowledge of software architecture principles, cloud networking, and security best practices.
+ Excellent communication and leadership skills, with the ability to influence stakeholders and lead technical discussions across business and engineering teams.
**Preferred**
+ Experience **leading research initiatives** and driving enterprise-wide adoption of new technologies.
+ Experience with **cross-functional enterprise projects** , including scoping, de-risking, and scaling AI/GenAI adoption.
+ Knowledge of data **governance, security frameworks** , **and regulatory compliance** (GDPR, HIPAA, SOX).
+ Prior experience launching AI/GenAI solutions into production at scale using both open-source and vendor platforms.
+ Active involvement in the AI/ML community through publications, open-source contributions, or industry collaborations.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**Job Summary**
We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.
This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.
**Responsibilities**
+ **Agentic AI Development:**
Design, build, and deploy **agentic AI systems** using frameworks such as LangChain, LangGraph, and related libraries.
Develop and deploy **multi-agent systems** capable of autonomous decision-making, reasoning, planning, and collaboration.
+ **RAG Pipelines:**
Implement and optimize **retrieval-augmented generation (RAG)** systems, ensuring agents can access and incorporate external knowledge sources for **grounded, accurate responses** .
+ **LLM Engineering:**
Fine-tune and prompt-engineer LLMs for **task-specific reasoning, planning, and dynamic adaptation** .
Work with **LLM/SLM APIs, embeddings, and advanced generative AI techniques** .
+ **Enterprise AI Platform:**
Lead the development of enterprise-grade AI platforms integrating **LLMs, RAG, embeddings, and agentic AI protocols** .
Implement and standardize **Model Context Protocol (MCP)** for consistent context management across models and agents.
+ **MLOps & Observability:**
Establish and enforce best practices for **MLOps, monitoring, and observability** , ensuring scalable and maintainable AI solutions.
+ **Applied AI Prototyping:**
Rapidly **prototype, experiment, and iterate** to improve AI agent capabilities.
+ **Collaboration & Research:**
Participate in the **full research cycle** : literature review, data exploration, experimentation, and presentation of findings.
Collaborate effectively with other engineers, researchers, and data scientists.
Contribute to the **documentation and standardization** of technical code and practices.
**Required Education**
**Bachelor's degree** in Computer Science, Engineering, or a related quantitative field. **Master's or Ph.D.** is a strong plus.
**Required Experience**
+ **5+ years overall experience** in software development, data science, or machine learning.
+ **1+ year of hands-on experience** developing AI applications with LLMs and systems such as **retrieval-based methods, fine-tuning, or agent-based architectures** .
+ **1+ year of experience** with frameworks like **LangChain, LlamaIndex, OpenAI, or similar tools** .
**Required Technical Skills**
+ Strong programming skills in **Python** and basics in **SQL** .
+ Expertise with **LLM/SLM APIs, embeddings, and RAG systems** .
+ Experience deploying on **Google Cloud Platform (GCP)** with **Vertex AI,** and **IBM WatsonX** .
+ Familiarity with **agentic AI protocols** and exposure to **Agent Development Kits (ADKs)** .
**Preferred Qualifications**
+ Experience implementing **Model Context Protocol (MCP)** for agent coordination.
+ Prior exposure to **LangGraph, AutoGen, or related orchestration frameworks** .
+ Knowledge of **MLOps best practices** (CI/CD for ML, observability, monitoring, scaling).
+ Familiarity with **responsible AI** principles (safety, fairness, interpretability).
+ Experience in **enterprise-scale deployments** of AI-driven platforms.
+ Contributions to **open-source AI/ML projects** are a plus.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._

**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**Job Summary**
We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.
This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.
**Responsibilities**
+ **Agentic AI Development:**
Design, build, and deploy **agentic AI systems** using frameworks such as LangChain, LangGraph, and related libraries.
Develop and deploy **multi-agent systems** capable of autonomous decision-making, reasoning, planning, and collaboration.
+ **RAG Pipelines:**
Implement and optimize **retrieval-augmented generation (RAG)** systems, ensuring agents can access and incorporate external knowledge sources for **grounded, accurate responses** .
+ **LLM Engineering:**
Fine-tune and prompt-engineer LLMs for **task-specific reasoning, planning, and dynamic adaptation** .
Work with **LLM/SLM APIs, embeddings, and advanced generative AI techniques** .
+ **Enterprise AI Platform:**
Lead the development of enterprise-grade AI platforms integrating **LLMs, RAG, embeddings, and agentic AI protocols** .
Implement and standardize **Model Context Protocol (MCP)** for consistent context management across models and agents.
+ **MLOps & Observability:**
Establish and enforce best practices for **MLOps, monitoring, and observability** , ensuring scalable and maintainable AI solutions.
+ **Applied AI Prototyping:**
Rapidly **prototype, experiment, and iterate** to improve AI agent capabilities.
+ **Collaboration & Research:**
Participate in the **full research cycle** : literature review, data exploration, experimentation, and presentation of findings.
Collaborate effectively with other engineers, researchers, and data scientists.
Contribute to the **documentation and standardization** of technical code and practices.
**Required Education**
**Bachelor's degree** in Computer Science, Engineering, or a related quantitative field. **Master's or Ph.D.** is a strong plus.
**Required Experience**
+ **5+ years overall experience** in software development, data science, or machine learning.
+ **1+ year of hands-on experience** developing AI applications with LLMs and systems such as **retrieval-based methods, fine-tuning, or agent-based architectures** .
+ **1+ year of experience** with frameworks like **LangChain, LlamaIndex, OpenAI, or similar tools** .
**Required Technical Skills**
+ Strong programming skills in **Python** and basics in **SQL** .
+ Expertise with **LLM/SLM APIs, embeddings, and RAG systems** .
+ Experience deploying on **Google Cloud Platform (GCP)** with **Vertex AI,** and **IBM WatsonX** .
+ Familiarity with **agentic AI protocols** and exposure to **Agent Development Kits (ADKs)** .
+ **Preferred Qualifications**
+ Experience implementing **Model Context Protocol (MCP)** for agent coordination.
+ Prior exposure to **LangGraph, AutoGen, or related orchestration frameworks** .
+ Knowledge of **MLOps best practices** (CI/CD for ML, observability, monitoring, scaling).
+ Familiarity with **responsible AI** principles (safety, fairness, interpretability).
+ Experience in **enterprise-scale deployments** of AI-driven platforms.
+ Contributions to **open-source AI/ML projects** are a plus.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._

**Who We Are**
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
**What We Offer**
Location:
Chennai,IND
You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits ( .
**AI Research Scientist - Algorithm**
**We are a passionate, cross-functional team at the forefront of applying cutting-edge AI and machine learning to accelerate scientific and materials innovation. Our mission is to create domain-specific, product-centric algorithmic solutions that drive real impact for our customers.**
**We thrive in a collaborative environment that encourages out-of-the-box thinking and values diverse perspectives. Here, creativity flourishes-groundbreaking ideas are born from the synergy of technical expertise and open-minded teamwork. We believe the best solutions emerge when everyone is empowered to share their unique insights and challenge conventional boundaries.**
**Our team leverages state-of-the-art generative AI and large language models to tackle complex problems in materials science, scientific discovery, and hardware design. We work closely with scientists, engineers, and product leaders to translate frontier research into practical, high-value applications.**
**Ideal candidates bring a strong research background, technical leadership, and a passion for learning new technologies. If you are excited to solve complex problems, drive innovation, and help shape the future of science with AI, join us on our journey to make possible a better future through intelligent discovery.**
**KEY RESPONSIBILITIES:**
**Develop, pretrain, fine-tune, and align LLMs and generative models tailored for scientific and materials science data, literature, and workflows.**
**Innovate post-training methods, alignment, and evaluation for domain-specific LLMs, ensuring models are robust, accurate, and trustworthy for scientific use cases.**
**Design and implement generative approaches to accelerate materials discovery, hypothesis generation, and hardware design.**
**Collaborate with scientists, engineers, and cross-functional teams to identify impactful applications of generative AI in materials science.**
**Build and curate scientific datasets, benchmarks, and evaluation protocols for model validation and continuous improvement.**
**Stay current with advances in AI, machine learning, and materials science, and publish original research in top venues.**
**Mentor junior team members and contribute to a collaborative, inclusive research culture.**
**TECHNICAL SKILLS:**
**Strong background in machine learning, deep learning, NLP, and generative AI, with a focus on scientific or technical domains.**
**Hands-on experience with LLM pretraining, supervised fine-tuning (SFT), post-training alignment (e.g., RLHF), and rigorous model evaluation.**
**Proficiency in Python and frameworks such as PyTorch or TensorFlow.**
**Experience working with structured and unstructured scientific data (e.g., literature, experimental results, simulation outputs) and developing domain-specific models.**
**Excellent communication skills, with the ability to collaborate across disciplines and present complex ideas to diverse audiences.**
**REQUIREMENTS/EDUCATION:**
**MS or Ph.D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field**
**Additional Information**
**Time Type:**
Full time
**Employee Type:**
Assignee / Regular
**Travel:**
Yes, 10% of the Time
**Relocation Eligible:**
Yes
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
Job Summary
We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI) systems. As an AI Architect, you will be responsible for defining application architectures for ML/GenAI solutions on cloud platforms & tools such as GCP, Vertex AI, IBM Watsonx, leading end-to-end design and implementation, and driving adoption of emerging technologies and frameworks across the organization.
This is a hands-on technical leadership role that requires deep expertise in AI/ML fundamentals, enterprise architecture design, and practical experience building production-grade AI/GenAI solutions. You will collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver scalable, secure, and innovative AI-powered systems that create measurable business value.
Key Responsibilities
+ Architect and design application and system architectures for ML/GenAI solutions on cloud platforms, tools (GCP, Vertex AI, IBM Watsonx).
+ Build, deploy, and maintain enterprise-scale AI/ML applications, ensuring they are production-ready, secure, and scalable.
+ Lead research and adoption of emerging AI/GenAI technologies, frameworks, and tools at the enterprise level.
+ Partner with product, engineering, and business teams to translate business challenges into robust AI/GenAI solutions.
+ Define end-to-end architecture for data pipelines, model development, deployment, monitoring, and retraining.
+ Promote and evangelize best practices in AI/ML system design, data governance, MLOps, and ethical/responsible AI.
+ Provide technical leadership and mentorship to AI/ML engineers and data scientists across business units.
+ Stay current with advances in AI/ML, GenAI, LLMs, and cloud-native architecture, and identify opportunities for adoption.
+ Define roadmaps and strategies that accelerate AI adoption and help the enterprise transition from descriptive to predictive and prescriptive analytics.
+ Collaborate with executives and cross-functional leaders to advocate AI/GenAI capabilities and drive enterprise-wide adoption.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
Experience
+ 7+ years of experience designing, building, and deploying AI/ML solutions including monitoring, scaling, and optimization in production at enterprise scale.
+ Hands-on expertise in cloud platforms ( **GCP Vertex AI (preferred)** , AWS SageMaker, or Azure ML) and cloud-native application design.
+ Proven experience **designing enterprise-grade application architectures for ML/GenAI** workloads.
+ Strong programming skills in **Python,** Java, or C++, and proficiency with **ML/AI frameworks (PyTorch, TensorFlow, Keras)** .
+ Deep understanding of **ML/AI fundamentals** : statistical modeling, architectures, representation, reasoning, and generative models (LLMs, diffusion).
+ Hands on experience in one or more **ML domains** such as NLP, computer vision, or reinforcement learning.
+ Hands on experience in **MLOps practices and tools** (MLflow, TFX, Kubeflow, CI/CD pipelines, model monitoring).
+ Strong knowledge of software architecture principles, cloud networking, and security best practices.
+ Excellent communication and leadership skills, with the ability to influence stakeholders and lead technical discussions across business and engineering teams.
Preferred
+ Experience **leading research initiatives** and driving enterprise-wide adoption of new technologies.
+ Experience with **cross-functional enterprise projects** , including scoping, de-risking, and scaling AI/GenAI adoption.
+ Knowledge of data **governance, security frameworks** , **and regulatory compliance** (GDPR, HIPAA, SOX).
+ Prior experience launching AI/GenAI solutions into production at scale using both open-source and vendor platforms.
+ Active involvement in the AI/ML community through publications, open-source contributions, or industry collaborations.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
**Your Role**
Defines Agentic AI solution architecture, platform patterns, integration strategy, governance, security controls, and scalable multi-agent design. Ensures alignment with enterprise standards and production readiness.
**What you will do:**
**1. AI Strategy & Architecture**
Define enterprise Agentic AI architecture and technology roadmap.
Design scalable, modular, and reusable AI agent frameworks.
Establish architectural standards, governance, and best practices for AI solutions. Evaluate emerging AI technologies and recommend adoption strategies. Drive AI modernization initiatives across business units.
**2. Agentic AI Solution Design**
Design autonomous AI agents capable of planning, reasoning, memory management, tool usage, and task execution.
Architect multi-agent collaboration patterns for complex workflows.
Design orchestration mechanisms for agent communication and coordination.
Define agent lifecycle management including planning, execution, reflection, and optimization.
Build reusable AI capabilities across multiple enterprise use cases.
**3. LLM & GenAI Architecture**
Architect solutions leveraging foundation models such as GPT, Claude, Gemini, Llama, Mistral, and enterprise-hosted models.
Design Retrieval-Augmented Generation (RAG) architectures.
Develop prompt engineering and prompt management strategies.
Design semantic search using vector databases.
Optimize AI inference performance, latency, and operational costs.
**4. AI Platform & Engineering**
Architect scalable AI platforms on Azure, AWS, or Google Cloud.
Design APIs and microservices supporting AI workloads.
Integrate AI agents with enterprise systems such as SAP, ServiceNow, Salesforce, Microsoft 365, Jira, Slack, and internal applications.
Build reusable AI accelerators and reference architectures.
Define CI/CD pipelines for AI applications (LLMOps/MLOps).
**5. Data & Knowledge Architecture**
Design enterprise knowledge ingestion pipelines.
Architect document processing, embeddings, vector indexing, and metadata management.
Define strategies for structured and unstructured data integration.
Design knowledge graphs and semantic retrieval architectures where appropriate.
**6. Governance, Security & Responsible AI**
Establish Responsible AI guidelines and governance.
Ensure compliance with enterprise security policies and regulatory standards.
Implement guardrails against hallucinations, prompt injection, and data leakage.
Design authentication, authorization, audit logging, and AI monitoring frameworks.
Ensure explainability, transparency, and ethical AI practices.
**7. Leadership & Collaboration**
Lead architecture reviews and technical design sessions.
Mentor architects, AI engineers, and development teams.
Partner with business leaders to identify AI transformation opportunities.
Drive proof-of-concepts through production deployment.
**Your Future at Kyndryl**
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Required Skills and Experience**
+ 12-18+ years in Software Engineering, AI/ML, Cloud Architecture, or Enterprise Solution Architecture, with at least 3-5 years designing and implementing Generative AI solutions.
+ Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
+ 5+ years in AI/ML or Generative AI architecture.
**Preferred Skills and Experience:**
+ Large Language Models (LLMs)
+ Agentic AI, Multi-Agent Systems and Autonomous AI Agents
+ Retrieval-Augmented Generation (RAG)
+ Prompt Engineering
+ AI Reasoning & Planning, AI Memory Architectures and AI Evaluation Frameworks
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Responsible AI Engineer**
**About the role**
As a **Responsible AI Engineer** , you will make an impact by engineering the trust, safety, and governance layer for agentic AI systems deployed at enterprise scale. You will be a valued member of the **AI Market Unit (FDE Pod)** and work collaboratively with **AI engineers, architects, risk teams, and client stakeholders** to ensure every AI solution is safe, compliant, and production-ready.
**In this role, you will:**
+ Design and implement **runtime guardrails and safety architectures** for LLM and agentic AI systems, including input/output controls, prompt injection detection, and policy enforcement mechanisms
+ Lead **red-teaming and adversarial testing** initiatives to identify vulnerabilities such as jailbreaks, prompt injections, and trust boundary violations before production deployment
+ Build and operationalize **AI governance and compliance frameworks** , translating regulations (e.g., EU AI Act, NIST AI RMF) into enforceable engineering controls
+ Develop and deploy **fairness, bias, and model evaluation pipelines** , including hallucination detection, groundedness validation, and subgroup performance analysis
+ Establish **observability and auditability** for AI systems through structured logging, audit trails, governance metrics, and incident response processes
**Work model**
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role's business requirements, this is an **onsite position requiring 5 days a week** in a Cognizant office in **Chennai, Bangalore, or Hyderabad** .
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
**What you need to have to be considered**
+ Experience in **software engineering or ML engineering** , with hands-on exposure to **AI safety, governance, or trust engineering**
+ Proven experience building and deploying **LLM or agentic AI systems in enterprise or regulated environments**
+ Strong expertise in at least two of the following: **guardrails engineering, red teaming, bias/fairness evaluation, AI regulatory compliance**
+ Working knowledge of **AI regulatory frameworks** such as EU AI Act, NIST AI RMF, ISO/IEC 42001, or sector-specific compliance standards
+ Strong **Python programming skills** , with experience building evaluation pipelines, observability systems, or AI governance tooling
+ Ability to collaborate with **security, legal, and risk stakeholders** , translating technical AI risks into actionable insights for business leaders
+ Excellent **communication and executive-level presentation skills** , with experience presenting to senior client stakeholders
**These will help you stand out**
+ Hands-on experience conducting **red-team assessments** on production AI systems and remediating critical vulnerabilities
+ Experience creating **audit-ready AI governance and compliance documentation** for external or regulatory review
+ Ability to influence AI system design decisions by balancing **technical feasibility with regulatory and risk considerations**
+ Experience integrating **fairness, safety evaluation, and monitoring pipelines into CI/CD workflows**
+ Exposure to enterprise AI tooling such as **NeMo Guardrails, Giskard, Arize, LangChain/LangGraph, or similar ecosystems**
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting perspectives to this role.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Architecting the Future: Agentic AI & Enterprise Transformation**
_Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI._
We are seeking a pragmatic **futurist and business-savvy technologist** to redefine how enterprises operate in the **AI-first era** . This strategic role is available across **Cognizant's key delivery locations in India** .
You will lead the **design, adoption, and scaling** of Generative and Agentic AI ecosystems for our most strategic clients.
This role blends **advisory, hands-on solutioning, and practice-building leadership** to ensure AI delivers **tangible, industry-specific business outcomes** .
**Core Responsibilities**
+ **Architect & Implement Enterprise AI Ecosystems**
Design and implement modular, scalable AI platforms that integrate **Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration** . Ensure architectures are **cloud-native, secure, and industry-compliant** .
+ **Drive AI Strategy**
Serve as the **anchor architect** for major client accounts. Lead **C-level discussions** to define **AI roadmaps** that link technology to measurable business outcomes. Influence long-term investment strategies.
+ **Industry-Specific AI Solutions**
**Envision, Design and Deliver verticalized AI use cases** across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality.
+ **Develop, Train & Optimize Models**
Lead **end-to-end model lifecycle** : data preparation, **training, fine-tuning** , deployment, monitoring, and continuous improvement. Balance **LLM vs. SLM adoption** for cost, latency, and performance optimization.
+ **MLOps & LLMOps Leadership**
Establish enterprise standards for **MLOps/LLMOps pipelines** (CI/CD, monitoring, observability, drift detection, compliance). Build **agent lifecycle governance frameworks** for scalable, auditable AI systems.
+ **People Leadership & Practice Building**
Mentor and grow a **community of architects and engineers** . Build **capability squads** in GenAI/Agentic AI. Shape the company's **AI practice** , including **skills development, hiring strategy, and succession planning** .
+ **Ecosystem & Partner Engagement**
Build and leverage **strategic partnerships** with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and **co-sell AI solutions** into strategic accounts.
+ **Innovation & Thought Leadership**
Publish **white papers, frameworks, and patents** . Lead **executive roundtables** and contribute to the **Tech Radar** , ensuring the firm shapes the AI conversation in the market.
**Required Skills & Experience**
+ **15+ years in IT & architecture** , with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership.
+ **5+ years in AI/ML** , with **1+ year in Generative & Agentic AI** (LLMs, SLMs, multi-agent orchestration).
+ **Model Training Expertise** : Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines.
+ **Hyperscaler Certifications** : Architect-level expertise in **at least two** (AWS, Azure, GCP).
+ **MLOps/LLMOps Mastery** : CI/CD pipelines, monitoring, observability, compliance, AI cost governance.
+ **CxO Advisory** : Proven experience leading **executive AI strategy discussions** with Fortune 500 clients.
+ **Governance Expertise** : Familiar with **AI RMF (NIST), EU AI Act, Responsible AI practices** .
+ **People Leadership** : Experience mentoring teams and building **cross-functional AI capability practices** .
+ **Ecosystem Influence** : Track record shaping AI initiatives through **partner alliances (hyperscalers, startups, ISVs)** .
**Good to have.**
+ Publications, **patents** , or open-source contributions in **Agentic AI, LLMOps, or model compression/distillation** .
+ Recognized thought leadership (conferences, panels, media interviews).
+ **Industry domain depth** in at least one vertical: **Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality**
+ Experience with **AgentOps, model evaluation frameworks, and AI observability tooling** .
**Functional Competencies**
+ **Business Acumen** : Identify and execute high-value AI transformations across industries.
+ **Consultative Mindset** : Convert **PoCs/PoVs into long-term transformation programs** .
+ **Practice Builder** : Mentor, hire, and scale **AI architecture talent pools** .
+ **Ecosystem Shaper** : Drive **co-innovation** with hyperscalers, startups, and ISVs.
+ **Pragmatic Execution** : Balance **build-vs-buy** , deliver under pressure, and navigate enterprise politics.
+ **Translation & Storytelling** : Distill complex AI concepts into clear **executive-ready narratives** .
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Title:
Principal Cloud Solutions Architect - Applications & AI
KBR is looking for a Principal Cloud Solutions Architect - Applications & AI to serve as a senior technical leader responsible for defining enterprise architecture standards, cloud-native application strategies, artificial intelligence solutions, and integration patterns across KBR's global technology landscape. This role provides architectural leadership for custom applications, Azure platform services, enterprise integration, Microsoft Power Platform, Microsoft 365, and AI-enabled business solutions.
The Principal Cloud Solutions Architect - Applications & AI will work within a globally distributed Strategy and Architecture organization. This position will partner with stakeholders across North America, Europe, Asia-Pacific, and other global regions to guide application modernization, cloud adoption, AI enablement, and technology governance initiatives. The ideal candidate will combine a deep expertise in enterprise application architecture, Azure cloud services, AI platforms, and DevSecOps practices with a proven ability to influence technology strategy, establish standards, and mentor technical teams across a complex enterprise environment.
In September 2025, KBR announced that we are spinning our Mission Technology Solutions business into a separate public company. This role will ultimately be part of the new company. The Mission Technology Solutions business partners with governments and defense, intelligence, space, aviation, and critical infrastructure customers to deliver high-end engineering, science, technology, and mission support solutions.
**Ability to work a regular 2:00 PM - 11:00 PM IST schedule**
Key Responsibilities:
+ Enterprise & Application Architecture
+ Define and maintain enterprise application architecture standards, principles, reference architectures, and reusable design patterns
+ Lead architecture design for custom applications, cloud-native solutions, integration initiatives, and modernization programs
+ Provide architectural leadership for solutions leveraging Microsoft technologies, including .NET, .NET Core, C#, ASP.NET, Blazor, Web APIs, and modern application frameworks
+ Establish architecture patterns for microservices, distributed systems, API-first architectures, event-driven solutions, and domain-driven design
+ Evaluate application portfolios and recommend modernization strategies that improve scalability, security, maintainability, and operational efficiency
+ Ensure solutions align with enterprise architecture, security, integration, supportability, and lifecycle management standards
+ Serve as a trusted advisor to business and technology stakeholders on application architecture and technology decisions
+ Azure PaaS & Cloud-Native Architecture
+ Lead adoption of Azure PaaS and cloud-native technologies as preferred enterprise application hosting models
+ Design solutions utilizing Azure App Services, Azure Functions, Azure SQL, API Management, Logic Apps, Service Bus, Event Grid, Container Apps, Key Vault, Azure Front Door, and related Azure services
+ Establish reusable architecture patterns that promote scalability, security, reliability, observability, operational excellence, and cost optimization
+ Guide application teams in selecting appropriate Azure services, deployment models, and cloud-native design approaches
+ Ensure solutions align with Microsoft Azure Well-Architected Framework principles
+ AI Architecture & Intelligent Platforms
+ Define enterprise AI architecture standards, governance models, reference architectures, and implementation frameworks
+ Design and govern AI-enabled solutions utilizing Azure AI Foundry, Azure OpenAI, Azure AI Services, AI Agents, Retrieval-Augmented Generation (RAG), intelligent search, vector databases, and enterprise knowledge platforms
+ Guide integration of AI capabilities within custom applications, Power Platform solutions, and Microsoft 365 environments
+ Ensure AI solutions align with responsible AI principles, security, privacy, compliance, data governance, and operational support requirements
+ Evaluate emerging AI technologies and recommend enterprise adoption strategies
+ Enterprise Integration & Platform Architecture
+ Define enterprise integration strategies, standards, and reusable architecture patterns
+ Design architectures leveraging APIs, messaging platforms, event-driven architectures, Microsoft Graph, and hybrid integration models
+ Provide governance and architectural guidance for Power Platform, Microsoft 365, SharePoint Online, Teams, Dataverse, and related platforms
+ Establish secure and scalable integration patterns across Azure services, SaaS applications, enterprise systems, and low-code platforms
+ Guide teams on the appropriate use of low code versus custom development approaches
+ Architecture Governance, Security & DevSecOps
+ Lead architecture review boards, solution governance reviews, and technical design assessments
+ Ensure alignment with enterprise architecture standards, technology roadmaps, security requirements, and operational support models
+ Define architecture standards supporting Secure SDLC, DevSecOps, software quality, and software supply chain governance
+ Review security findings, software quality metrics, vulnerability assessments, and compliance controls
+ Partner with development, cloud, and cybersecurity teams to integrate security, quality, and compliance requirements into delivery pipelines
+ Ensure solutions align with organizational security standards and industry best practices
+ Technology Strategy & Leadership
+ Lead proof-of-concepts, technology evaluations, vendor assessments, and strategic recommendations
+ Partner with technology vendors and platform providers to support enterprise solution adoption and modernization efforts
+ Contribute to cloud, application, AI, integration, and enterprise technology roadmaps
+ Support critical architecture decisions, major initiatives, and complex production escalations
+ Mentor architects, engineers, and development teams
+ Serve as a senior technical leader across globally distributed teams and initiatives
Basic Qualifications:
+ Bachelor's degree in computer science, Information Systems, Engineering, or a related field required; equivalent experience may be considered
+ 9 + years of overall Information Technology experience
+ 7 + years of experience in Solution Architecture, Application Architecture, Cloud Architecture, AI Architecture, or Enterprise Architecture roles
+ 5+ years of hands-on Microsoft Azure architecture experience
+ Proven ability in designing enterprise-scale custom applications and modernization initiatives
+ Highly skilled in developing architecture standards, governance frameworks, and technology roadmaps
+ Deep expertise in Microsoft technologies, including .NET, .NET Core, C#, ASP.NET, Blazor, Web APIs, and cloud-native application architectures
+ Proficiency in designing Azure PaaS and cloud-native solutions
+ Familiar with Azure AI Foundry, Azure OpenAI, Azure AI Services, AI Agents, RAG architectures, and intelligent application platforms
+ Skilled in designing or governing enterprise solutions utilizing Azure services, APIs, Microsoft Power Platform, and Microsoft 365 technologies
+ Strong understanding of enterprise integration architecture, API management, and event-driven design patterns
+ DevOps, DevSecOps, software quality governance, and software supply chain risk management experience
+ Knowledge of secure application architecture, governance, compliance, and enterprise security principles
+ Strong communication and stakeholder management skills
+ Proven expertise to influence technical strategy and architectural decisions across large organizations
+ Strong analytical, problem-solving, and decision-making capabilities
+ Demonstrated ability to mentor architects, engineers, and development teams
+ Ability to communicate complex technical concepts effectively to both technical and executive audiences
+ Experience working across globally distributed teams and business functions
Preferred Qualifications
+ Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
+ Microsoft Certified: Azure AI Engineer Associate (AI-102)
+ TOGAF Certification
+ Ability to design and govern enterprise solutions utilizing Azure cloud-native services, integration platforms, container technologies, DevOps toolchains, Microsoft Power Platform, and Microsoft 365 technologies
+ Proficiency with Azure AI Foundry, Azure OpenAI, AI Agents, RAG architectures, intelligent search, vector databases, Copilot technologies, and enterprise AI governance
+ SonarQube, Sonatype Nexus Lifecycle/IQ, GitHub Advanced Security, SAST, DAST, and secure CI/CD practices experience
+ Knowledge of NIST, ISO 27001, CIS Benchmarks, and enterprise governance frameworks
+ Exposure to AWS and Google Cloud Platform environments
We are IT
We are strategic enablers of the business, delivering scalable, secure, and innovative technology solutions that drive operational excellence and support enterprise growth. We partner closely with functions across the organization to modernize systems, unlock data-driven insights, and enhance the digital employee experience. Our global footprint and commitment to transformation position us at the forefront of leveraging technology to create lasting business value.