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GenAI Architect – Python | RAG | LangChain | LangGraph | MCP
Company name confidential

GenAI Architect – Python | RAG | LangChain | LangGraph | MCP

Company name confidential
10-12 Years
4.5 - 6 LPA
Early Applicant
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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)

Key Skills

genAI

CI/CD