AIML Architect

Position Permanent

Role – AI Architect

Shift Timings- 2PM – 11PM

Experience – 10 – 15 Years

Location – Chennai (WFO)

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.

www.movate.com

AI Architect

Generative AI & Enterprise AI

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

Models (LLMs), and RAG architecture.

• Strong 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.

Programming & Backend Development

• Strong proficiency in Python with experience building production-grade AI applications.
• Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
• Strong understanding of microservices, asynchronous processing, distributed systems, and enterprise

integration patterns.

• Experience integrating LLMs into enterprise applications through secure APIs and orchestration

frameworks.

AI & Data Technologies

• Experience with one or more vectors and search technologies:

Elasticsearch/OpenSearch

Pinecone

FAISS

Weaviate

Chroma

Azure AI Search

• Experience with document intelligence, OCR, PDF/text extraction, metadata enrichment, and enterprise

knowledge management.

• Strong understanding of SQL and relational databases.

Cloud & DevOps

• Hands-on experience with AWS and/or Azure cloud platforms.
• Experience with Docker, Kubernetes/OpenShift, Git, CI/CD, and cloud-native deployments.
• Understanding of Infrastructure as Code and production AI operations.

www.movate.com

Good to Have

AI Architect

Experience working with US Healthcare Payer or Provider organizations is highly desirable.

Knowledge of:

• Claims Processing
• Benefits & Coverage
• Prior Authorization
• Member & Provider Portals
• Explanation of Benefits (EOB)
• Healthcare Document Intelligence
• HIPAA Compliance
• FHIR
• HL7
• X12/EDI Transactions

Leadership & Soft Skills

• Strong enterprise architecture and strategic thinking capabilities.
• Excellent stakeholder management and executive communication skills.
• Ability to influence technical decisions across multiple programs.
• Experience leading cross-functional engineering teams in global delivery environments.
• Strong mentoring and coaching skills with a collaborative leadership style.
• Customer-facing experience in architecture discussions, technical workshops, and solution presentations.

Regards,

Shivani