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Technical Lead- AI + .Net

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Onsite

Technical Lead- AI + .Net

eClerx

Technical Lead- AI + .Net

Skills

SQL QueriesDockerPythonC#.NETMicroservicesMicrosoft Azure Cosmos DBAIGitHubKubernetesAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Navi Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

20 September 2026

What they need


We are looking for an experienced AI Solution Lead with a strong background in .NET technologies to design and deliver enterprise-grade AI solutions. The ideal candidate should have hands-on experience building AI-powered applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and Azure AI services while leading technical teams and driving end-to-end solution architecture.

Key Responsibilities

  • Design and develop AI-powered enterprise applications using .NET (C#, ASP.NET Core).
  • Architect and implement LLM, Generative AI, RAG, and Agentic AI solutions.
  • Build scalable AI services using Azure AI Services, Azure OpenAI, and Azure Cognitive Search.
  • Integrate vector databases, embeddings, and semantic search into enterprise applications.
  • Develop AI agents and orchestration workflows using frameworks such as Semantic Kernel, AutoGen, LangChain, or Microsoft AI SDKs.
  • Collaborate with business stakeholders to translate requirements into AI-driven solutions.
  • Design secure, scalable APIs and microservices.
  • Mentor development teams and establish AI engineering best practices.
  • Drive code reviews, architecture discussions, and technical governance.
  • Ensure performance, security, and responsible AI implementation.

Required Skills

  • 10+ years of experience in .NET (C#, ASP.NET Core, Web API).
  • Strong experience in Azure Cloud.
  • Hands-on experience with Azure OpenAI, Azure AI Services, Azure Cognitive Search.
  • Experience with Generative AI, LLMs, RAG, Prompt Engineering, and AI Agents.
  • Knowledge of Semantic Kernel, LangChain, AutoGen, or similar AI orchestration frameworks.
  • Experience with Vector Databases (Azure AI Search, Pinecone, Weaviate, ChromaDB, FAISS, etc.).
  • Strong understanding of REST APIs, Microservices, and Event-driven Architecture.
  • Experience with SQL Server, Cosmos DB, or NoSQL databases.
  • Familiarity with Docker, Kubernetes, Azure DevOps, and CI/CD pipelines.
  • Excellent stakeholder management and leadership skills.

Preferred Skills

  • Experience with MCP (Model Context Protocol) and Agentic AI architectures.
  • Knowledge of Python for AI prototyping.
  • Experience with GitHub Copilot or Microsoft Copilot Studio.
  • Exposure to MLOps and AI model deployment.
  • Azure AI or Microsoft certifications are preferred.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Nice to Have

  • Experience delivering enterprise AI transformation projects.
  • Experience working in Banking, Financial Services, Retail, or Healthcare domains.
  • Strong communication and client-facing experience.

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