GenAI and Azure Solution Architect

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

• • Architect secure, scalable, cloud-native solutions using Azure services (App Services, Functions, AKS, Event Grid/Event Hub, API Management, etc.).
  • Lead application modernization and migration programs from on premise or legacy platforms to Azure.
  • Apply architectural patterns such as microservices, serverless, event-driven, and domain-driven design.
  • Collaborate with engineering, QA, DevOps, security, and product teams to deliver end-to-end solutions.
  • Establish governance, best practices, reference architectures, and architecture review processes.
  • Architect and implement GenAI solutions using frameworks such as LangChain, LangGraph, AutoGen, crewAI, and the OpenAI Agent SDK.
  • Design production-grade AI solutions such as Intelligent document processing, Automated content generation, Enterprise search assistants, Multi agent and decision-support systems
  • Implement RAG, prompt engineering, fine-tuning, and orchestration techniques to build accurate and reliable AI systems.
  • Integrate agentic components into enterprise applications with monitoring, observability, human-in-the-loop flows, and feedback loops.
  • Partner with business, data, engineering, and product teams to drive GenAI adoption aligned to enterprise standards and value outcomes.

• 14–18 years of experience in cloud architecture, enterprise applications, and/or AI/ML engineering.
• Strong hands-on experience in Azure cloud services, networking, security, and infrastructure.
• Practical experience with GenAI frameworks (LangChain, LangGraph, AutoGen, crewAI, OpenAI Agent SDK).
• Proficiency in Python for AI/ML development; familiarity with REST, GraphQL, and APIs.
• Solid experience with LLMs, RAG workflows, prompt design, vector databases, and embeddings.
• Background in microservices, serverless architectures, and distributed systems.
• Experience using Docker, Kubernetes, and container-based ecosystems.
• Working knowledge of CI/CD pipelines, version control, automation, and MLOps concepts.
• Ability to translate business needs into scalable architecture and deliver measurable transformation outcomes.

We recognize the significance of flexible work arrangements to provide support. Be itremote work, or flexible work hours, you will get an environment to maintain healthy worklife balance.

At the heart of our mission is your career growth. Our array of career growth programs anddiverse professions are crafted to support you in exploring a world of opportunities.

Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.