Key Responsibilities

Enterprise AI Architecture & Development
Lead the architecture, design, and development of enterprise-grade AI solutions for US Healthcare use cases.
Define and own the enterprise AI architecture roadmap aligned with business and technology strategy.
Design, develop, and oversee the implementation of Generative AI, LLM, Agentic AI, and RAG-based applications from proof of concept through production deployment.
Architect end-to-end AI solutions covering data ingestion, document processing, embeddings, vector search, reranking, LLM orchestration, APIs, and application integration.
Establish reusable AI architecture patterns, reference implementations, coding standards, and development best practices across multiple projects.




Review solution designs and provide hands-on technical guidance during development, integration, testing, and production deployment.

Generative AI & Enterprise AI
Extensive experience designing and delivering enterprise AI solutions using Generative AI, Large Language Models (LLMs), and RAG architecture.

Key Skills-

Generative AI, LLM, RAG, Agentic AI, AI Architecture, Python, Quick API, Azure OpenAI, AWS Bedrock, Vector Databases, Elasticsearch, Enterprise AI Security, Responsible AI, HIPAA, FHIR, X12/EDI, Kubernetes, Docker, Cloud Architecture.

📌 Technical Lead Chennai
🏢 Movate Technologies
📍 Chennai