Description

Design and implement enterprise-grade Generative AI solutions, focusing on RAG architectures and agentic systems using .NET and Azure.

This role is on-site.

Responsibilities

• Architect end-to-end system designs for large-scale enterprise AI implementations.
• Develop hands-on RAG pipelines using LlamaIndex or LangChain with Pinecone and Azure OpenAI.
• Design tool-layer integrations for LLM agents, including MCP and FASTMCP.
• Build robust API integrations using REST and OAuth standards.
• Define enterprise AI rollout strategies and governance frameworks.

Required Skills

• 12–15 years of experience in enterprise architecture and solution design.
• 8–10+ years in software or AI engineering.
• 1–2+ years in enterprise AI or agentic system design.
• Hands-on experience with GenAI, .NET, and Azure services.
• Proficiency with LlamaIndex or LangChain, Pinecone, and Azure OpenAI.
• Strong background in REST API design and OAuth implementation.
• Knowledge of Enterprise AI principles and system integration.

Preferred Skills

• Experience building AI platforms, control planes, or orchestration layers.
• Familiarity with AI governance, LLMOps, and low-code platforms like Appian.
• Background in financial services platforms (e.g., DealCloud) or graph databases (Neo4j/Cosmos DB).

Key Skills

Education

Any Graduate