Role Objective :

Senior Data & AI Azure Architect to lead Organization's transformation into a modern Azure Native, AI-first platform using Fabric IQ, Foundry IQ, Work IQ, and Dragon Copilot.

This role will be accountable for end-state architecture, migration strategy, and execution oversight-ensuring scalability, security, and zero disruption to existing clients.

- Transitioning current platform to integrated Azure-native stack (Fabric + AI Foundry)

- Need to :

1. Accelerate AI adoption (RAG, Copilot experiences)

2. Enable business workflows

3. Reduce operational complexity and cost

- This role will directly impact platform scalability, client experience, and market positioning

Key Outcomes Expected :

- Hands-on experience with Azure Ecosystem

- Define and finalize Azure Native Target Architecture

- Deliver As-Is - To-Be architecture mapping

- Execute phased migration roadmap (non-disruptive)

- Establish :

1. Fabric-based data platform (Medallion architecture)

2. RAG + AI model integration strategy

3. Work IQ orchestration layer

- Implement secure model deployment & prompt protection framework

- Improve :

1. Platform performance

2. Data pipeline efficiency

3. AI-driven output quality

Core Responsibilities :

- Own end-to-end architecture design

- Lead migration strategy & execution governance

- Design data platform (batch + real-time ingestion)

- Architect AI/ML & GenAI solutions (RAG, LLM orchestration)

- Ensure security, compliance (HIPAA), and data governance

- Partner with :

1. Product, Engineering, Research

2. Sales (for solutioning & client discussions)

Ideal Candidate Profile :

- 15- 18+ years of overall experience

- 5+ years in Data & AI Architecture

- Strong expertise in :

1. Azure Data (Fabric, Data Pipelines, Lakehouse)

2. Azure AI (Foundry, OpenAI, RAG)

- Proven track record in :

1. Cloud/platform migration

2. Enterprise architecture design

- Experience in healthcare data (FHIR, EHR, claims) preferred

- Ability to operate at :

1. Hands-on architecture level

2. Leadership/strategy level

Success Metrics :

- Migration completed within timeline & budget

- Zero/minimal client disruption

- Measurable improvement in :

1. Performance & scalability

2. Cost optimization

3. AI adoption across workflows

- Strong alignment across tech + business stakeholders