CareerPlanGet AI match score →

AI Engineering Enablement Director

2 Locations💼 Full-time🗓 2026-04-17 → 2026-07-30

Core

Enable teams to build secure, responsible, and cost-effective AI solutions by creating practical guidance, reusable foundations, and continuous assurance mechanisms.

Role type

Director, AI Engineering Enablement

Builds

Reusable AI engineering assets, governance patterns, and assurance workflows for financial market infrastructure

Domain

Financial markets infrastructure and data

Deliverable

production ML models | infrastructure

Required skills

Cloud engineering (Azure/AWS/GCP), Python, modern AI frameworks (LangChain, Semantic Kernel), software engineering fundamentals, AI/ML platform engineering, AI observability, AI risk and governance frameworks, engineering enablement asset creation

Preferred skills

AI governance/assurance process design, AI FinOps, MLOps/AI delivery tooling, industry standards participation, workshop facilitation, explainability and drift management

Technologies

Azure, AWS, GCP, Python, LangChain, Semantic Kernel

Responsibilities

Translate AI architecture and governance principles into practical, reusable assets; lead AI engineering knowledge and community activities; refine streamlined, evidence-based assurance approaches; monitor emerging industry practices and translate insights into internal guidance

Seniority

Director, hands-on IC with strategic scope

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗