AI Technical Architect

Role & responsibilities

• Lead end-to-end development of customer-facing AI applications from architecture design through production deployment.
• New Product Development
• AI Enablement of Existing Products
• Performance, Security and Governance

Preferred candidate profile

You Bring:

• 6+ years in software architecture with 2+ years in production Agentic AI Systems

• Proven track record deploying agentic AI solutions at scale

• Deep expertise in .NET ecosystem and modern frontend frameworks

• Security-first mindset for enterprise applications

• Experience with prompt engineering, model fine-tuning, and AI observability

• Experience with function calling, semantic search, streaming responses, and AI cost optimization.

• AI Frameworks: LangChain, LangGraph, AutoGen, CrewAI, or similar agentic frameworks

• LLM Integration: Anthropic Claude, Azure AI Foundry, OpenAI, AWS Bedrock

• Backend: .NET Core (C#), Python,RESTful APIs, microservices architecture

• Frontend: Angular, TypeScript, real-time UI for AI interactions

• Vector DBs: Pinecone, Weaviate, ChromaDB, or Qdrant
  Cloud & DevOps: Azure/AWS, Docker, Kubernetes, CI/CD pipelines

• Security: OAuth 2.0, API security, data encryption, compliance (SOC2, GDPR)

• Orchestration: Multi-agent workflows, tool calling, RAG (Retrieval-Augmented Generation), Chain of Thoughts