Technical Lead - Data Science

WinWire

Hyderabad

On-site

INR 4,000,000 - 7,000,000

Full time

5 days ago
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Job summary

WinWire is seeking an Experienced Tech Lead / Senior Technical Lead to drive AI and Azure-based solutions, focusing on Copilot/agent platforms and enterprise integrations. You will own end-to-end technical delivery, ensuring scalable, secure architectures aligned with governance and business outcomes.

You will lead GenAI initiatives, optimize OpenAI models on Azure, design RAG pipelines, build AI agents, and collaborate with cross-functional teams to ship robust AI applications for enterprise

Qualifications

  • 9+ years experience in leading AI/ML projects and building GenAI applications.
  • Proven ability to design end-to-end AI architectures spanning data, model, and application layers.
  • Experience with Azure OpenAI, OpenAI APIs, and enterprise integrations.

Responsibilities

  • Lead the design and implementation of GenAI projects with technical guidance to the team.
  • Develop GenAI-powered chatbots and agents using RAG techniques.
  • Collaborate with data scientists, engineers, and product managers to translate requirements into specs.

Skills

GenAI Expertise
Python backend
Autonomous agents
Azure OpenAI
OpenAI APIs
MCP’s and A2A SDK
Microsoft Copilot Studio
Custom connectors & plugins

Tools

Langchain
LangGraph
Autogen
OpenAI libraries

Job description

Experienced Tech Lead / Senior Technical 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.

Experience

9+ Yrs

Primary Skills (Must have hands on experience)
  • 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 Knowledge of MCP’s and A2A SDK
  • 2+ years of Build multi-turn conversational flows in Microsoft Copilot Studio, leveraging topics, triggers, adaptive cards, and generative answers
  • 2+ years of exp in creating custom connectors and plugins to integrate with enterprise platforms like Workday, ServiceNow, Jira, and Confluence
What You'll Do

Key technical skills :

As a Lead Data Scientist specializing in OpenAI technology and Cognitive Services, you will lead the design and development of AI applications and models powered by OpenAI's state-of-the-art models. You will collaborate with cross-functional teams to build innovative AI solutions. Your responsibilities will include:

Primary Responsibilities
  • 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 langGraph, 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.
Why Join Us

Be part of a high-impact team building next-generation AI and Copilot solutions at enterprise scale. Take on a Lead lead role where the candidate shape architecture, participate in dev and influence real business outcomes.

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