GenAI Architect – Python | RAG | LangChain | LangGraph | MCP
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Job Description
Architect – GenAI
Job Title: Architect – GenAI
Experience: 10+ Years
Employment Type: Full-Time
Industry: eCommerce / Retail / Omni-Channel / B2B
Job Summary
We are looking for an experienced GenAI Architect with strong hands-on expertise in Python, Generative AI architecture, solution design, and manual coding. The ideal candidate should have experience designing and deploying production-grade GenAI solutions and be capable of translating business requirements into scalable technical architectures.
The candidate will be responsible for architecture design, hands-on development, technical mentoring, solution walkthroughs, and performance optimization of GenAI applications.
Key Responsibilities
- Design and architect Generative AI solutions for enterprise applications.
- Create High-Level Designs (HLDs) and high-level architecture/block diagrams for GenAI solutions.
- Develop scalable and production-ready GenAI applications using Python and manual coding.
- Provide end-to-end architectural solutions, technical guidance, mentoring, and technical walkthroughs.
- Design and implement GenAI solutions across eCommerce, Retail, Omni-Channel, and B2B domains.
- Work on GenAI projects that are deployed and operated in production environments.
- Design and develop MCP (Model Context Protocol) solutions and MCP Servers.
- Develop GenAI applications using RAG (Retrieval-Augmented Generation).
- Work with LangChain and LangGraph for application development and orchestration.
- Containerize and deploy applications using Docker.
- Develop and integrate CI/CD pipelines for GenAI applications.
- Apply prompt engineering techniques to improve application quality and performance.
- Identify and implement performance optimization and improvement strategies.
- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
- Conduct technical walkthroughs and mentor development teams on GenAI architecture and implementation.
Required Skills & Experience
- Strong hands-on experience in Python programming and manual coding.
- Proven experience as a GenAI Architect / AI Architect / Generative AI Architect.
- Strong experience in GenAI solution architecture and HLD design.
- Ability to create high-level architecture diagrams/block diagrams, not just process or flow diagrams.
- Experience designing and implementing production-grade GenAI solutions.
- Minimum 2 GenAI projects deployed in a production environment.
- Hands-on experience with MCP (Model Context Protocol) and MCP Server development.
- Strong experience with RAG architecture and implementation.
- Hands-on experience with LangChain and LangGraph orchestration.
- Experience with Docker and containerized deployments.
- Experience in developing and integrating CI/CD pipelines.
- Strong understanding of prompt engineering techniques.
- Experience in performance optimization and application improvement.
- Strong problem-solving and technical communication skills.
- Ability to mentor developers and conduct technical/architecture walkthroughs.
Domain Experience
Experience in one or more of the following domains is preferred:
- eCommerce
- Retail
- Omni-Channel
- B2B
Preferred Candidate Profile
- Strong balance of architecture and hands-on development.
- Able to independently design GenAI solutions and convert architecture into working code.
- Strong understanding of enterprise GenAI application development and deployment.
- Comfortable working in a fast-paced environment and collaborating with technical and business stakeholders.
- Demonstrated experience taking GenAI solutions from design through production deployment.
Bachelor Of Technology (B.Tech/B.E), Masters in Technology (M.Tech/M.E)
