AI Data Architecture
Core
Design and implement scalable, secure AI data ecosystems and strategies for GenAI/ML workloads to support advanced AI solutions for customers, agents, and healthcare providers.
Role type
Senior AI Data Architect
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 design, GenAI strategy, cloud infrastructure (Azure), relational/NoSQL databases, big data solutions, statistical tools, Python/R, data visualization, LLM integration, prompt engineering, AI model governance
Preferred skills
Insurance industry experience, leadership/mentorship, cross-team collaboration
Technologies
Azure, Azure SQL, SQL Server, Oracle, MongoDB, Azure Cosmos DB, Redis, Neo4j, Azure Data Lake, Azure ML, Databricks, Azure Event Hub, Tableau, MS Power BI, DeepSeek, Azure OpenAI, Google Gemini, Meta Llama, Microsoft Phi
Responsibilities
Develop AI data architecture strategies and roadmaps for GenAI platforms; Design data ingestion, preprocessing, and scaled model computation pipelines; Troubleshoot ML model deployment and data pipeline issues; Translate business priorities into architecture requirements; Support Enterprise Architecture team with design thinking; Ensure ethical, secure, and compliant AI use aligned with regulatory guidelines
Seniority
Senior, hands-on IC with leadership/mentorship