1082 AI Solutions jobs in Bengaluru
AI Solutions Engineering Manager
Posted today
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Job Description
InCommon is hiring on behalf of a US based health-tech company.
About Us
We provide high-quality, compassionate care to low-income patients with complex needs—care they often don’t receive elsewhere. We offer at-home and virtual care, 24/7 support, and long-term relationships built on trust.
Our approach blends primary, behavioral, and social care, supported by strong clinical teams, smart technology, and proven care models. We partner with health plans, providers, and community organizations to improve outcomes that truly matter to patients.
About the Role
As a Senior Staff Engineer , you will help us transform healthcare through AI. You will oversee the engineering team’s day-to-day operations, helping drive successful delivery of projects and you will possess strong technical and leadership skills, and excellent communication and collaboration skills.
What you’ll do
- Own the day-to-day of engineering delivery across multiple projects
- Translate complex healthcare workflows into scalable product and tech decisions
- Partner closely with Product, Clinical Ops, and other teams to define and ship the right things fast
- Maintain a high bar for engineering velocity, quality, and culture — balancing speed vs. debt
- Help build and mentor a team of 4+ engineers (across backend, data, and platform)
- Lead agile processes: sprint planning, retrospectives, and execution reviews
- Define and track engineering metrics and continuous improvement efforts
You should have
- 8+ years of engineering experience, with 5+ years in leadership roles
- Hands-on experience scaling teams and production systems in fast-moving environments
- Comfort across backend systems – Go, Scala, Java preferred
- Strong communication and collaboration skills across tech and non-tech stakeholders
- Experience in healthcare is a plus, but not required
Why this role matters
- You’ll shape the tech that enables better outcomes for underserved patients
- You’ll work across domains — clinical, operations, data — in a team that values impact over noise
- You’ll help define engineering culture and ways of working from the ground up
AI Solutions Engineering Director
Posted today
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The Director – AI Engineering will lead the design, development, and deployment of enterprise-grade AI solutions across Audit, Tax, and Advisory domains. The role focuses on scaling Agentic AI, Headless AI Agents, AI Marketplaces and Data Ocean - driven platforms for both internal transformation and client-facing products.
This leader will shape the engineering vision, drive cross-functional squads, and ensure that all AI solutions adhere to KPMG’s Trusted AI Governance, Zero-Trust frameworks, and multi-cloud operational standards.
Responsbilities:
1. AI Engineering & Architecture Leadership
- Lead full lifecycle AI engineering from prototype to MVP to production across KPMG Audit, Tax, and Advisory use cases.
- Architect scalable Agentic AI systems integrated with Foundry pipelines, Agent Factory orchestration, and KDO lakehouse connectivity.
- Define modular AI agent architecture (stateless/headless/memory-enabled) using LangChain, CrewAI, LlamaIndex, and Azure AI Studio.
- Drive model optimization, fine-tuning, and RLHF strategies for both proprietary and open-weight models (GPT, Claude, Llama, Falcon).
2. Platform Ownership – AI Foundry, Agent Factory
- Own the engineering roadmap for the KDN Agent Factory, ensuring agent orchestration, safety, and lifecycle governance.
- Integrate AI Foundry pipelines with marketplace for Bring-Your-Own-Agent (BYOA) and Managed AI Service capabilities.
- Oversee the continuous delivery of secure, portable agents across Azure Stack, AWS Bedrock, and GCP Vertex.
- Collaborate with global COEs to embed explainability, observability, and compliance automation into all releases.
3. Data & Integration Leadership
- Partner with Data Engineering teams to evolve Data Ocean as the single source of truth for model training and inference data.
- Ensure AI-native integrations with SAP, Oracle, Workday, ServiceNow, and Palantir for enterprise automation scenarios.
- Oversee graph and vector-based storage layers (Neo4j, Pinecone, Milvus) and their alignment with Knowledge Graphs / Agent Context Memory.
4. Delivery & Governance
- Manage multi-disciplinary engineering squads spanning AI, MLOps, DevSecOps, and Cloud Infra.
- Enforce AI SDLC, MLOps, and Responsible AI checkpoints in alignment with KPMG Global Risk & Legal.
- Establish performance dashboards tracking velocity, agent uptime, and hallucination-free accuracy across environments.
- Drive quarterly WOW Demo and Board Showcases with Foundry and Client Advisory leadership.
5. Client-Facing & Internal Transformation
- Translate domain workflows (Audit, Tax, Advisory) into agentic pipelines for efficiency, insight, and compliance automation.
- Co-create AI-enabled service models for zero-touch audit, policy assurance, digital twins, and finance anomaly detection.
- Serve as AI Engineering liaison for client-side pilots, coordinating with Consulting, Risk, and CIO stakeholders.
Required Technical Competencies
- AI Frameworks: LangChain, CrewAI, AutoGen, Semantic Kernel, HuggingFace, PyTorch, TensorFlow
- Data Platforms: Azure Fabric, Databricks, Snowflake, Synapse, Palantir Foundry
- Model Management: MLflow, Kubeflow, Arize, OpenTelemetry, Prometheus
- Architecture: Microservices, container orchestration (Kubernetes, Ray), event-driven design
- Security: Zero-Trust, OAuth2, Confidential AI, Keysafe, SBOM governance
- DevOps Stack: GitHub Enterprise, Azure DevOps, Terraform, Helm, CI/CD pipelines
Leadership & Behavioral Competencies
- Proven track record in leading 50+ member global AI engineering squads across cloud and hybrid infrastructures.
- Deep understanding of business, risk, and regulatory context of Big 4 Audit/Tax/Advisory engagements.
- Strong executive communication and board reporting skills;
experience presenting AI transformation metrics to CXO-level audiences.
- Ability to balance innovation velocity with compliance assurance under regulated enterprise environments.
Educational & Professional Background
- Ph.D. / Master’s in Computer Science, AI/ML, or related discipline.
- 12+ years in AI Engineering, including 5+ years in leadership roles.
- Experience within professional services, consulting, or enterprise AI transformation.
AI Solutions Engineering Lead
Posted today
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Job Description
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.
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
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.
AI Solutions Engineer
Posted 13 days ago
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Job Description
Job Title: AI Solutions Engineer (AWS Ecosystem Preferred) – Mid-Level
Location: Bangalore (Hybrid)
Job Type: Full-Time
CloudZenia is seeking a mid-level AI Solutions Engineer with expertise in building and deploying GenAI and ML solutions on the AWS ecosystem. You’ll work closely with customers and cross-functional teams to deliver high-impact, scalable AI/ML applications that solve real-world business challenges.
Key Responsibilities :-
- Design and implement AI/ML solutions tailored to complex customer challenges.
- Translate complex customer challenges into optimized Al/ML solutions.
- Build and deploy Agentic Al systems and RAG-powered applications.
- Develop and optimize pipelines using Python, PyTorch, TensorFlow, LangChain.
- Architect and deploy solutions using AWS GenAI & ML services (Bedrock, SageMaker, Kendra, Lex, Lambda, S3, etc.).
- Implement MLOps best practices: CI/CD for ML, monitoring, retraining, and scaling.
- Work with structured and unstructured data, including text, images, and embeddings.
- Collaborate with customers, architects, and product managers to ensure clear communication and measurable impact.
- Balance performance, cost, and security in every solution.
Requirements :-
- 04–07 years of experience in AI/ML development, with at least 2 years in GenAI applications.
- Strong programming skills in Python and experience with ML frameworks.
- Hands-on experience with Agentic AI , vector databases (Pinecone, Weaviate, FAISS, OpenSearch), and RAG architectures.
- Familiarity with prompt engineering , fine-tuning, and evaluation of LLMs.
- Knowledge of MLOps practices, version control, and deployment workflows.
- Experience with AWS GenAI and ML services; cloud-native architecture knowledge is a plus.
- Excellent problem-solving and communication skills.
- Awareness of data security, governance, and cost optimization (FinOps mindset).
About the Company:
CloudZenia is an IT services company specializing in Managed DevOps, Cloud Engineering, Migration, Backup & DR, Security Solutions, and Managed Services. We deliver tailored, scalable, and cost-efficient cloud solutions that enhance reliability, performance, and operational efficiency for businesses across industries.
Join us to build reliable, cloud-first infrastructure that supports high-impact applications!
AI Solutions Architect
Posted today
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Job Description
Generative AI Specialist
Solution Architecture & Design
- Design and develop advanced AI solutions leveraging large language models, generative AI models, AI agents, and hybrid AI approaches.
- Architect scalable, secure, and efficient AI systems integrating traditional machine learning with emerging generative AI capabilities.
- Ensure AI solutions meet enterprise-grade performance, compliance, and ethical AI standards.
Thought Leadership & Innovation
- Act as a subject matter expert in generative AI, large language models, and agentic AI; contribute to technical strategy and AI roadmaps.
- Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader.
- Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and machine learning.
Engineering & Delivery
- Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.
- Lead proof-of-concept development and transition of AI solutions into production.
- Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions.
Mentorship & Leadership
- Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering.
- Foster a culture of innovation, experimentation, and continuous learning within the AI/machine learning engineering group.
Key Requirements
- 7–12 years of experience in Artificial Intelligence and Machine Learning, with 3–4 years dedicated to Generative AI, Large Language Models, and Agentic AI.
Technical Expertise:
- Strong understanding of LLM architectures (e.g., GPT, LLaMA, Mistral, Claude, Gemini, etc.), fine-tuning, and deployment.
- Experience in AI agent frameworks, multi-agent systems, and orchestration tools.
- Solid background in machine learning algorithms, deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, and cloud AI platforms (AWS, Azure, GCP).
- Leadership Skills: Proven track record of architecting AI solutions at scale and leading cross-functional teams.
- Research & Innovation: Demonstrated ability to stay ahead of AI trends and convert emerging techniques into practical solutions.
Excellent communication skills to articulate AI concepts to both technical and executive stakeholders.
),AI Solutions Engineer
Posted 2 days ago
Job Viewed
Job Description
Location: Bangalore (Hybrid)
Job Type: Full-Time
CloudZenia is seeking a mid-level AI Solutions Engineer with expertise in building and deploying GenAI and ML solutions on the AWS ecosystem. You’ll work closely with customers and cross-functional teams to deliver high-impact, scalable AI/ML applications that solve real-world business challenges.
Key Responsibilities :-
Design and implement AI/ML solutions tailored to complex customer challenges.
Translate complex customer challenges into optimized Al/ML solutions.
Build and deploy Agentic Al systems and RAG-powered applications.
Develop and optimize pipelines using Python, PyTorch, TensorFlow, LangChain.
Architect and deploy solutions using AWS GenAI & ML services (Bedrock, SageMaker, Kendra, Lex, Lambda, S3, etc.).
Implement MLOps best practices: CI/CD for ML, monitoring, retraining, and scaling.
Work with structured and unstructured data, including text, images, and embeddings.
Collaborate with customers, architects, and product managers to ensure clear communication and measurable impact.
Balance performance, cost, and security in every solution.
Requirements :-
04–07 years of experience in AI/ML development, with at least 2 years in GenAI applications.
Strong programming skills in Python and experience with ML frameworks.
Hands-on experience with Agentic AI , vector databases (Pinecone, Weaviate, FAISS, OpenSearch), and RAG architectures.
Familiarity with prompt engineering , fine-tuning, and evaluation of LLMs.
Knowledge of MLOps practices, version control, and deployment workflows.
Experience with AWS GenAI and ML services; cloud-native architecture knowledge is a plus.
Excellent problem-solving and communication skills.
Awareness of data security, governance, and cost optimization (FinOps mindset).
About the Company:
CloudZenia is an IT services company specializing in Managed DevOps, Cloud Engineering, Migration, Backup & DR, Security Solutions, and Managed Services. We deliver tailored, scalable, and cost-efficient cloud solutions that enhance reliability, performance, and operational efficiency for businesses across industries.
Join us to build reliable, cloud-first infrastructure that supports high-impact applications!
AI Solutions Engineer
Posted today
Job Viewed
Job Description
Job Title: AI Solutions Engineer (AWS Ecosystem Preferred) – Mid-Level
Location: Bangalore (Hybrid)
Job Type: Full-Time
CloudZenia is seeking a mid-level AI Solutions Engineer with expertise in building and deploying GenAI and ML solutions on the AWS ecosystem. You’ll work closely with customers and cross-functional teams to deliver high-impact, scalable AI/ML applications that solve real-world business challenges.
Key Responsibilities :-
- Design and implement AI/ML solutions tailored to complex customer challenges.
- Translate complex customer challenges into optimized Al/ML solutions.
- Build and deploy Agentic Al systems and RAG-powered applications.
- Develop and optimize pipelines using Python, PyTorch, TensorFlow, LangChain.
- Architect and deploy solutions using AWS GenAI & ML services (Bedrock, SageMaker, Kendra, Lex, Lambda, S3, etc.).
- Implement MLOps best practices: CI/CD for ML, monitoring, retraining, and scaling.
- Work with structured and unstructured data, including text, images, and embeddings.
- Collaborate with customers, architects, and product managers to ensure clear communication and measurable impact.
- Balance performance, cost, and security in every solution.
Requirements :-
- 04–07 years of experience in AI/ML development, with at least 2 years in GenAI applications.
- Strong programming skills in Python and experience with ML frameworks.
- Hands-on experience with Agentic AI , vector databases (Pinecone, Weaviate, FAISS, OpenSearch), and RAG architectures.
- Familiarity with prompt engineering , fine-tuning, and evaluation of LLMs.
- Knowledge of MLOps practices, version control, and deployment workflows.
- Experience with AWS GenAI and ML services; cloud-native architecture knowledge is a plus.
- Excellent problem-solving and communication skills.
- Awareness of data security, governance, and cost optimization (FinOps mindset).
About the Company:
CloudZenia is an IT services company specializing in Managed DevOps, Cloud Engineering, Migration, Backup & DR, Security Solutions, and Managed Services. We deliver tailored, scalable, and cost-efficient cloud solutions that enhance reliability, performance, and operational efficiency for businesses across industries.
Join us to build reliable, cloud-first infrastructure that supports high-impact applications!
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AI Solutions Architect
Posted today
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Job Description
Opportunity for Gen Ai Architect (Data Scientist)
Experience: 6+yrs Relevant with Gen Ai
Notice Period: Immediate - 30 days
Required:
- Gen AI
- LLM
- MLOps
- RAG
- Lang Chain
- Early joiners preferable
If Interested Please share your updated resume on
AI Solutions Architect
Posted today
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Job Description
About Us
CEECO International Consultancy is a trusted overseas education firm helping students secure admissions in top global universities, especially for MBBS and healthcare studies. Based in Kerala with a strong international presence, we offer expert guidance in counseling, admission, and visa processing. Our mission is to make global education accessible, transparent, and affordable for every aspiring student.
Role:
CEECO International is a leading overseas education consultancy driving digital transformation across its operations. We are seeking a proactive AI Generalist to integrate AI tools across marketing, sales, HR, accounts, and operations to enhance efficiency and automate business processes.
Key Responsibilities:
Lead AI-driven initiatives and process automation.
Integrate platforms like CRM, ERP, HRMS, and marketing tools.
Deploy AI solutions (LLMs, NLP, computer vision, predictive analytics).
Ensure seamless data flow and system interoperability.
Collaborate with teams and manage vendor coordination.
Requirements:
Bachelor’s/Master’s in CS, IT, Data Science, or related fields.
3+ years in AI integration, digital transformation, or tech leadership.
Hands-on experience with AI tools, cloud platforms (AWS, Azure, GCP).
Strong communication, project management, and coordination skills.
Why Join Us:
Drive real business impact with AI in a fast-growing ed-tech company.
Work in an innovative, outcome driven, and collaborative environment