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
Deliverable
production ML models | product features | dashboards & analysis
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
