Our Client Currently looking for Data & AI Architect

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

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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