Principal Enterprise Data & AI Architect
Core
Define, evolve, and operationalize architecture for enterprise data platforms, AI/ML capabilities, and agentic data-access solutions to support analytics and AI-enabled business workflows.
Role type
Principal Enterprise Data & AI Architect
Builds
Cloud-based data platforms, AI/ML platforms, semantic layers, knowledge graphs, and governed agentic data-access services.
Domain
Financial services / Enterprise Data & AI Architecture
Deliverable
production ML models | infrastructure
Required skills
Enterprise data architecture, cloud data platform engineering, AI/ML platform architecture, agentic AI design patterns, semantic modeling, data governance, cloud-native AI integration, LLM Ops, vector databases, data lakehouse design, technical guardrails definition, architecture strategy, migration planning, stakeholder influence, mentorship
Preferred skills
MCP-based tooling, Agent Harness, prompt engineering, retrieval-augmented generation (RAG), orchestration patterns
Technologies
AWS Redshift, Snowflake, Databricks, Google BigQuery, Aurora, Postgres, Dynamo DB, Neo4J, Neptune, AWS Sagemaker, AWS Bedrock, Open Search
Responsibilities
Own architecture strategy and target-state designs for data and AI platforms; define patterns for data ingestion, transformation, and consumption across batch and streaming; lead modernization from on-premises to cloud; drive architecture reviews for design risks and scalability; translate business requirements into roadmaps and reusable frameworks; mentor engineers and delivery teams on architecture practices.
Seniority
Principal, hands-on IC with strategy & mentorship