Lead Data AI Architect
Core
Translating business strategy into secure, scalable data and AI architectures, defining technical specifications, and guiding delivery teams in building modern data platforms and AI/ML/GenAI products.
Role type
Senior IC Lead Data AI Architect
Builds
Enterprise data lakes, data warehouses, streaming pipelines, analytics solutions, and AI/ML/GenAI products
Domain
Financial services / Insurance / Data Engineering / Machine Learning / Generative AI
Deliverable
production ML models | infrastructure
Required skills
Data and AI architecture design, Azure services (Data Lake/Databricks/Synapse/Fabric, Azure AI), data governance and modeling, MLOps/LLMOps, API/data standards, metadata management, security-by-design, model governance, discovery and assessment, solution alignment with business strategy, documentation standards, cost optimization, observability, platform reliability
Preferred skills
Generative AI solution patterns (RAG, vector search, prompt orchestration), lakehouse patterns, data product design, data warehousing and streaming, governance tooling, model risk management
Technologies
Azure Data Lake, Databricks, Synapse, Fabric, Azure AI services, vector databases, CI/CD, IaC
Responsibilities
Lead end-to-end architecture for modern data and AI solutions; Define and evangelize reference architectures and reusable patterns; Evaluate and integrate Azure-native and partner technologies; Ensure interoperability, data consistency, and responsible AI; Conduct discovery of current-state data and AI landscapes; Partner with engineering, product, data science, security, and risk teams; Define and maintain architecture documentation standards; Maintain a centralized repository for data and AI architecture artifacts
Seniority
Senior, hands-on IC with strategic influence
