Engineer 6, Machine Learning, Data & AI
Core
Define enterprise strategy and architecture for preparing data assets to support Agentic AI, Generative AI, and AI-driven business transformation.
Role type
Senior Technologist, Data & Agentic AI Enablement (Strategy & Architecture)
Builds
Enterprise data ecosystems optimized for AI agent consumption, semantic layers, and knowledge graphs
Domain
Enterprise Data Architecture, Agentic AI, Generative AI
Required skills
Enterprise data architecture, data governance, semantic modeling, metadata management, AI strategy, stakeholder influence, cloud-native architectures
Preferred skills
Agentic AI frameworks, RAG architectures, vector databases, agent orchestration, thought leadership
Technologies
LLMs, RAG, vector databases, agent frameworks, CI/CD, IaC, DevSecOps
Responsibilities
Define enterprise roadmap for integrating AI agents into data engineering workflows; Establish standards for exposing enterprise data through APIs and semantic layers; Lead development of enterprise semantic models and business ontologies; Partner with security teams to implement responsible AI controls; Advise executive leadership on enterprise AI strategy
Seniority
Senior, hands-on IC with strategic influence
