GEN AI

Capgemini; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Capgemini India seeks a GenAI Architect to define scalable GenAI architectures, build reusable assets, and industrialize AI solutions across domains. You will collaborate with business and delivery teams to drive AI initiatives and establish governance, security, and monitoring for deployments.

The role requires hands-on experience with Agentic AI, RAG, and orchestration frameworks, plus cloud expertise (Azure/AWS) and strong NLP/LLM knowledge.

Qualifications

• 12+ years in software architecture, AI/ML, or digital engineering with GenAI exposure.
• Strong expertise in designing GenAI architectures and AI solution platforms.
• Hands-on with Agentic AI frameworks and intelligent workflow orchestration.
• Experience with RAG architectures and implementation patterns.
• Knowledge of vector databases and LLM integration workflows.
• Expertise integrating AI services into enterprise and embedded products.
• Strong microservices and distributed systems design experience.
• Proficiency in Python, Rust, or .NET development.
• Experience with API management, data flows, and compliance architectures.
• Expertise in Azure and AWS cloud platforms.

Responsibilities

• Architect scalable, secure GenAI solutions across enterprise and embedded ecosystems.
• Create reusable AI assets, accelerators, and POCs for deployment.
• Define roadmaps and identify emerging AI tools and platform capabilities.
• Collaborate with business, delivery, and engineering to translate requirements into AI solutions.
• Design Agentic AI architectures using autonomous workflows and orchestration frameworks.
• Support prompt orchestration, model integration, fine-tuning, observability, and toolchain automation.
• Develop and optimize RAG solutions using vector databases and knowledge sources.
• Architect microservices-based AI platforms and cross-system integrations.
• Work with data scientists and AI engineers to operationalize models.
• Establish governance, security, and monitoring for AI deployments.
• Drive innovation by evaluating new LLMs and foundation models.

Skills

Architectural design

GenAI expertise

RAG architectures

Vector databases

Cloud platforms

LangChain

LlamaIndex

Kubernetes

Observability

NLP & LLMs

Tools

LangChain

Semantic Kernel

LlamaIndex

OpenAI

Azure OpenAI

Amazon Bedrock

Job description

Your Role

As a GenAI Architect, you will be responsible for defining scalable GenAI architectures, building reusable assets and accelerators, and collaborating with business and delivery teams to industrialize AI solutions across multiple domains and customer engagements.

Your Profile

Mandatory Skills

• 12+ years of experience in software architecture, AI/ML, or digital engineering with significant exposure to Generative AI solutions.
• Strong expertise in designing and implementing GenAI architectures and AI solution platforms.
• Hands‑on experience with Agentic AI frameworks and intelligent workflow orchestration.
• Strong understanding of Retrieval‑Augmented Generation (RAG) architectures and implementation patterns.
• Experience with vector databases and LLM integration workflows.
• Expertise in integrating AI services into enterprise and embedded products.
• Strong experience in microservices architecture and distributed systems design.
• Proficiency in Python, Rust, or .NET development.
• Experience with API management, enterprise integration patterns, data flows, and compliance architectures.
• Expertise in cloud platforms including Azure and AWS.
• Strong hands‑on experience with orchestration frameworks such as:
  • LangChain
  • Semantic Kernel
  • LlamaIndex
  • Other AI orchestration frameworks
• Experience implementing observability, monitoring, and governance for AI applications.
• Strong understanding of NLP and Large Language Models including:
  • OpenAI
  • Azure OpenAI
  • Amazon Bedrock
  • Claude
  • Other Foundation Models

Preferred Skills

• Experience with AI agents, multi‑agent systems, and autonomous workflows.
• Familiarity with model fine‑tuning, prompt engineering, and model evaluation techniques.
• Knowledge of MLOps, LLMOps, and AI lifecycle management.
• Experience with Kubernetes, Docker, CI/CD pipelines, and cloud‑native architectures.
• Exposure to Responsible AI, AI governance, and regulatory compliance frameworks.
• Experience working with enterprise AI transformation programs.

Soft Skills

• Strong leadership and solution architecture capabilities.
• Excellent stakeholder management and customer‑facing skills.
• Strong communication and presentation skills.
• Ability to influence technical and business decision‑making.
• Proactive and innovation‑driven mindset.
• Strong collaboration skills across cross‑functional and global teams.
• Ability to work in fast‑paced, evolving technology environments.

In this role, you will:

• Architect scalable, secure, and modular Generative AI solutions across enterprise and embedded ecosystems.
• Design and develop reusable AI assets, accelerators, and proof‑of‑concepts (POCs) that can be industrialized for project deployments.
• Define technology roadmaps and identify emerging AI tools, frameworks, and platform capabilities.
• Collaborate closely with business, delivery, and engineering teams to translate business requirements into AI‑driven solutions.
• Design and implement Agentic AI architectures leveraging autonomous workflows and orchestration frameworks.
• Support prompt orchestration, model integration, fine‑tuning, observability, evaluation, and toolchain automation.
• Develop and optimize Retrieval‑Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
• Architect microservices‑based AI platforms and integrations across cloud and enterprise systems.
• Collaborate with data scientists and AI engineers to operationalize machine learning and Generative AI models.
• Establish governance, compliance, security, and monitoring frameworks for AI deployments.
• Drive innovation by evaluating emerging LLMs, foundation models, and AI service offerings.

About Capgemini In India

Capgemini is an AI‑powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end‑to‑end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Capgemini in India comprises nearly 235,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem, and Tiruchirappalli. Make it real | www.capgemini.com/in-en.