Technical Lead – Agentic AI

Winwire Technologies; Hyderabad; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Winwire Technologies in Hyderabad is seeking a Technical Lead – Agentic AI with 9-13 years of experience to own end-to-end delivery of GenAI and Azure-based solutions. You will guide architecture, governance, and collaboration across data scientists, engineers, and product managers.

You'll design and implement GenAI projects, build AI agents and RAG pipelines using Lang Graph and AutoGen, write Python, and integrate OpenAI models into enterprise systems such as Workday, Jira, and Confluence.

Qualifications

• 2+ years building GenAI apps including RAG and Langchain.
• 2+ years Python backend services, APIs, and orchestrators.
• 2+ years building autonomous agents with planning and tool invocation.
• 2+ years optimizing Azure OpenAI models for performance and scale.
• 2+ years integrating OpenAI models via APIs.
• 2+ years with Copilot Studio or Power Virtual Agents.

Responsibilities

• Lead the design and implementation of GenAI projects and provide technical guidance to the team.
• Proven experience as a Data Scientist/AI Developer with ML and data science expertise.
• Design and develop GenAI-powered chatbots using RAG techniques.
• Build AI agents using Lang Graph, AutoGen, etc.
• Write Python code for AI model development with OpenAI libraries.
• Design RAG pipelines ingesting data from structured and unstructured sources.
• API integration of OpenAI models into software applications.
• Collaborate with data scientists, engineers and product managers to translate requirements into specs.
• Document OpenAI models, algorithms and best practices.
• Research latest OpenAI tech and contribute PoC projects.

Skills

GenAI Expertise

Python backend

Autonomous agents

Azure OpenAI

OpenAI integration

Copilot Studio/Power Virtual Agents

MCP’s / A2A SDK

Copilot Studio multi-turn

Custom connectors (Workday, Jira, Confl

Tools

Lang Graph

AutoGen

Job description

Technical Lead – Agentic AI

Experience: 9-13 Years

Location: Hyderabad / Bengaluru

Role Summary

Experienced Tech Lead driving AI and Azure-based solutions, specializing in Copilot/agent platforms and enterprise integrations. Owns end-to-end technical delivery, ensuring scalable, secure, and governance-aligned architectures while bridging engineering and business outcomes.

What You’ll Do

• Leading the design and implementation of GenAI projects. The Lead Data Scientist will also be responsible for providing technical guidance and leadership to the team and ensuring that projects are delivered on time and to a high standard.
• Proven experience as a Data Scientist/AI Developer with expertise in machine learning and data science.
• Design and develop GenAI-powered chatbots and virtual assistants using RAG (Retrieval-Augmented Generation) techniques.
• Experience in creating AI agents using agentic frameworks like Lang Graph, AutoGen, etc.
• Programming and Implementation: Write high-quality, efficient code in Python for AI model development, with a strong focus on OpenAI libraries and frameworks.
• Design RAG pipelines that ingest data from structured and unstructured sources
• API Integration: Integrate OpenAI models into software applications and systems, ensuring seamless functionality.
• Collaboration: Collaborate closely with data scientists, engineers, and product managers to translate project requirements into technical specifications.
• Documentation: Create and maintain technical documentation for OpenAI models, algorithms, and best practices.
• Secondary Responsibilities:
  • Research: Stay updated on the latest developments in OpenAI technology, best practices, and emerging capabilities.
  • Proof of Concept: Participate in the development of proof-of-concept projects to explore the feasibility of OpenAI solutions.

Must-Have Skills

• GenAI Expertise: 2+ years of experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering.
• 2+ years of experience in developing Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition.
• 2+ years of experience in developing goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions.
• 2+ years of experience in optimizing Azure OpenAI models for enhanced performance and scalability.
• 2+ years of experience in integrating OpenAI models into software applications using OpenAI APIs.
• 2+ years of experience with Microsoft Copilot Studio or Power Virtual Agents for chatbot development and orchestration.
• 2+ years of knowledge of MCP’s and A2A SDK.
• 2+ years of building multi-turn conversational flows in Microsoft Copilot Studio, leveraging topics, triggers, adaptive cards, and generative answers.
• 2+ years of experience creating custom connectors and plugins to integrate with enterprise platforms like Workday, ServiceNow, Jira, and Confluence.

Good to Have

• Familiarity with AI governance, responsible AI, and prompt engineering best practices.
• Experience implementing ALM for Power Platform (pipelines, solutions, environment strategy).
• Exposure to Azure DevOps or GitHub for CI/CD.
• Background supporting financial, IT, or operational systems.
• Microsoft certifications (Power Platform, Azure, AI) a plus.

Tech Stack

Agentic AI, RAG, LLM, Python, Azure, Generative AI, Copilot Studio