Functional Safety AI Principal Engineer

Location: Dearborn, MI, United States; Hybrid

In this position...

Connect AI functional safety to software and quality engineering: 

Implement guardrails for safety within existing quality requirements enforced through the same development pipeline, quality gates, and metrics. 

Drive system safety architecture and assurance strategy for AI across Ford’s ADAS/AD, driver-monitoring, and connected/embodied-AI programs; 

Lead adoption of emerging AI-safety standards and process frameworks and prepares Ford for AI-specific regulation; 

Principal technical authority bridging architecture, safety, software quality, AI/ML engineering, and program execution. 

Day-to-day technical leadership on active programs, forward-looking work that matures Ford’s AI-safety, security and quality methods, tooling, and standards posture.

Assess AI maturity within projects, process frameworks and Ford infrastructure to develop an AI in FuSa Health Dashboard. 

Work with Ford Connected Vehicle Software and Product Data Integrity, and supplier engineering teams to identify safety related process and work product gaps and recommend best practice solutions. 

Develop a capability maturity plan working with engineering stakeholders. 

Report to the Director of the Office of Functional Safety Assurance (OFSA).

Define and deploy Ford’s strategy for AI in safety critical systems, ensuring that AI- and ML-enabled vehicle features and systems are demonstrably safe, certifiable, and deployable