Key Skills- Generative AI, LLM, RAG, Agentic AI, AI Architecture, Python, Fast API, Azure OpenAI, AWS Bedrock,

Vector Databases, Elasticsearch, Enterprise AI Security, Responsible AI, HIPAA, FHIR, X12/EDI, Kubernetes, Docker,

Cloud Architecture.

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. AI Architect www.movate.com

Generative AI & Enterprise AI

- Extensive experience designing and delivering enterprise AI solutions using Generative AI, Large Language

Models (LLMs), and RAG architecture.
- Solid expertise in:

Prompt Engineering

Agentic AI

AI Orchestration

Embeddings

Vector Databases

Semantic & Hybrid Search

Reranking

Function/Tool Calling

LLM Evaluation

Hallucination Mitigation

Context Management

- Hands-on experience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, OpenAI,

Anthropic, Google Vertex AI, or Hugging Face.

📌 AI/ML Architect (Chennai)
🏢 Movate Technologies
📍 Chennai