Lead / Architect - Genai

TymblHub; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems in Pune, India is seeking a GenAI Lead/Architect to guide design and delivery of scalable Generative AI and agentic solutions for enterprise use cases. You will architect AI agents, multi-agent workflows, and production-grade Python services, integrating diverse LLMs and vector databases while ensuring observability and governance.

The role requires hands-on expertise with LangChain/LangGraph and other agent frameworks, strong cloud-native skills, and the ability to mentor

Qualifications

• 8-12 years of overall software engineering experience.
• 3+ years building Generative AI/LLM-based applications.
• Strong Python and production-grade software development background.
• Hands-on with two or more Agentic AI frameworks.

Responsibilities

• Lead design, development, and delivery of GenAI/Agentic AI apps.
• Design AI agents and multi-agent workflows for enterprise use cases.
• Develop production-grade Python services and AI data pipelines.
• Establish prompts, guardrails, and evaluation for reliability.

Skills

Python

GenAI

LLMs

LangChain

LangGraph

Google ADK

CrewAI

AutoGen

REST APIs

Docker

Tools

LangChain

LangGraph

Google ADK

CrewAI

AutoGen

Copilot extensibility

FastAPI/Flask

REST/gRPC

Docker

Job description

# Lead / Architect - GenaiEpam SystemsPosted on October 2, 2026---Experience8 - 13 yrsJob LocationPune, IndiaVacancy1DesignationLead ArchitectJob TypeNot specified---## Job DescriptionExperience: 8-12 YearsRole: GenAI Lead /Architect**Role Overview:**We are looking for an experienced Python GenAI Lead to lead the design and development of production-grade Generative AI and Agentic AI solutions for enterprise use cases. The ideal candidate will have strong Python and software engineering fundamentals, hands-on experience with LLMs, RAG, AI agents, and multi-agent architectures, along with the ability to technically guide engineering teams.**Key Responsibilities:**- Lead the design, development, and delivery of scalable Generative AI and Agentic AI applications.- Design and implement AI agents, multi-agent systems, and agentic workflows for complex enterprise use cases.- Build and orchestrate agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot extensibility, or similar frameworks.- Develop production-grade Python applications, backend services, REST/gRPC APIs, microservices, and AI-driven data pipelines.- Implement advanced GenAI patterns including RAG, Agentic RAG, tool/function calling, ReAct, planning, reflection, memory, and human-in-the-loop workflows.- Design prompt strategies, system instructions, structured outputs, guardrails, and evaluation mechanisms to improve LLM reliability and accuracy.- Integrate LLMs with enterprise applications, APIs, vector databases, knowledge repositories, and external tools.- Work with models such as OpenAI GPT, Anthropic Claude, Google Gemini, and open-source LLMs.- Lead the development of scalable RAG solutions using Pinecone, Weaviate, ChromaDB, Qdrant, or equivalent vector databases.- Implement AI observability, evaluation, monitoring, and continuous improvement using tools such as LangSmith, Ragas, DeepEval, Arize, or Weights & Biases.- Provide technical leadership, code reviews, mentoring, and guidance to engineers working on GenAI solutions.- Collaborate with Product, Engineering, Data, Cloud, and Architecture teams to translate business requirements into technical solutions.- Establish reusable design patterns, development standards, and best practices for GenAI engineering.- Contribute to technical documentation, architecture decisions, proof of concepts, and innovation initiatives.- Stay current with emerging Agentic AI, LLM, GenAI frameworks, models, and enterprise AItechnologies.**Required Qualifications:****Must Have:**- 8-12 years of overall software engineering experience.- 3+ years of hands-on experience building Generative AI/LLM-based applications.- Strong expertise in Python and production-grade software development.- Hands-on experience with at least two Agentic AI frameworks, such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibility.- Strong backend development experience with FastAPI/Flask, REST/gRPC APIs, asynchronous programming, Docker, and microservices.- Strong understanding of LLMs including OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models.- Hands-on experience designing and implementing RAG and Agentic RAG architectures.- Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant.- Strong knowledge of prompt engineering, tool/function calling, structured outputs, guardrails, ReAct, memory, and LLM evaluation.- Strong understanding of system design, distributed systems, API architecture, and cloud-native development.- Experience providing technical leadership and mentoring engineering teams.- Strong analytical, problem-solving, communication, and stakeholder management skills.Please share your resume to **Vikram\\[e-mail]****CTC:****Exp CTC :****Notice :****Available for F2F at Pune - EPAM on 3rd Oct :**