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Skills
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Candidate Sourcingunmatched
Machine Toolunmatched
Microsoft Windows Azureunmatched
Product Managementunmatched
Quality Engineeringunmatched
Quality Metricsunmatched
Test Plan/Scheduleunmatched
Use Casesunmatched
Willing to Travelunmatched
Description
AI Engineering Lead
Travel to Chicago, IL
#1 Skill scaled AI engineering delivery
Sr. AI Delivery Lead who designs and operationalizes a scaled AI Factory model, overseeing repeatable pipelines for use-case intake, model development, testing, and deployment across multiple parallel AI workstreams. Experience as an AI builder, with understanding of quality engineering, AI Product management, and responsible AI. Secondary - Skilled in MLOps tooling (MLflow, Azure ML), sprint governance, and driving velocity and quality standards across distributed AI engineering teams. Ensures that teams are operating on standard architecture patterns, following delivery best practices. Supports AI engineering talent sourcing, engagement and retention.
Key Phase 0 responsibilities:
1) Connecting across the Functional streams to support staffing and defining key skills
2) Defining the AI solutioning approach - what exists today, how do we leverage SAFE Methods
3) What is the responsibility of the AI CoE vs. the pod teams (what is the RACI model)