RAAPID INC - Data & Artificial Intelligence 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:

- Accelerate AI adoption (RAG, Copilot experiences)

- Enable business workflows

- 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 :

- Fabric-based data platform (Medallion architecture)

- RAG + AI model integration strategy

- Work IQ orchestration layer

- Implement secure model deployment & prompt protection framework

Improve:

- Platform performance

- Data pipeline efficiency

- 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:

- Product, Engineering, Research

- Sales (for solutioning & client discussions)

Ideal Candidate Profile

- 15-18+ years of overall experience

- 5+ years in Data & AI Architecture

- Strong expertise in:

- Azure Data (Fabric, Data Pipelines, Lakehouse)

- Azure AI (Foundry, OpenAI, RAG)

Proven track record in :

- Cloud/platform migration

- Enterprise architecture design

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

Ability to operate at :

- Hands-on architecture level

- Leadership/strategy level

Success Metrics :

- Migration completed within timeline & budget

- Zero/minimal client disruption

- Measurable improvement in:

- Performance & scalability

- Cost optimization

- AI adoption across workflows

- Strong alignment across tech + business stakeholders