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