AI Data Architecture
Core
Design and implement scalable, secure AI data ecosystems and strategies for GenAI/ML workloads, serving customers, agents, partners, and healthcare providers.
Role type
Senior AI Data Architect (Strategy & Hands-on)
Builds
Scalable AI data platforms, GenAI usecases, and data pipelines for enterprise AI solutions.
Domain
Insurance/Healthcare + Cloud AI/ML
Deliverable
production ML models
Required skills
AI data architecture strategy, GenAI/LLM integration, cloud infrastructure design, data governance, ML model deployment, big data solutions, relational/NoSQL databases, statistical analysis, AI ethics/compliance
Preferred skills
Insurance industry experience, leadership/mentorship, RAG/prompt engineering, Agentic AI
Technologies
Azure, Azure OpenAI, Google Gemini, Meta Llama, Microsoft Phi, Azure SQL, SQL Server, Oracle, MongoDB, Azure Cosmos DB, Redis, Neo4j, Azure Data Lake, Azure ML, Databricks, Azure Event Hub, Python, R, Tableau, MS Power BI
Responsibilities
Develop AI data architecture strategies and roadmaps for GenAI platforms; design data ingestion, preprocessing, and scaled model computation pipelines; troubleshoot ML model deployments and data pipelines; translate business priorities into architecture requirements; support Enterprise Architecture team with design thinking; define data architecture standards aligned with IT strategy; participate in architecture assessments and reviews; ensure ethical, secure, and compliant AI use.
Seniority
Senior, hands-on IC with leadership/mentorship
