AI Senior Engineer Tech lead

The Context & Harness Committee is moving from strategy to execution. We are seeking three hands-on AI Tech Leads to define and validate our context engineering standards and evaluation harness before company-wide rollout.

Core responsibilities

• Lead the technical design and delivery of the assigned Context and Harness workstreams
• Review context formats, ontology models, harness proposals, and integration approaches.
• Support pilot teams across MFBS  divisions with context conversion, fixture authoring, and evaluation.
• Define how GitHub, Notion, and Slack content maps into the agent context engine.
• Establish guidelines for federated context routing and token-budget allocation across sources.
• Contribute to an ontology proof of concept covering one domain and one workflow using YAML-based schemas.
• Validate integration with internal or external agent platforms, including access and smoke testing.
• Capture pilot evidence and contribute to the standard and company best-practices package.