AI Summary

Leads the implementation of Responsible AI (RAI) frameworks and practices across AI/ML systems, ensuring ethical AI deployment, bias mitigation, and compliance with emerging governance standards.

About this role

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. As we expand, we're building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.

Leads the implementation of Responsible AI (RAI) frameworks and practices across AI/ML systems, ensuring ethical AI deployment, bias mitigation, and compliance with emerging AI governance standards. Opportunity to work on real-world projects that directly impact warfighter capabilities and mission success. Help write the policy that will influence how the department tests and evaluates AI across the joint force.

Key Responsibilities

Design and implement RAI frameworks for bias detection, fairness, and explainability

Develop automated testing pipelines for AI model validation and monitoring

Create governance processes for AI model lifecycle management

Implement model interpretability and explainability solutions

Establish metrics and monitoring systems for RAI compliance

Lead cross-functional teams in RAI best practices adoption

Develop training materials and documentation for RAI implementation

Collaborate with legal and compliance teams on AI regulatory requirements

Qualifications

10+ years of experience in AI/ML engineering with focus on responsible AI practices

Active TS/SCI clearance with ability to obtain CI Polygraph

Advanced degree in Computer Science, Data Science, or related field preferred

Expertise in fairness metrics, bias detection, and model interpretability techniques

Experience with RAI frameworks (Fairlearn, AI Fairness 360, What-If Tool, etc.)

Strong understanding of AI ethics, governance, and regulatory landscape

Proven track record of leading technical implementations and cross-functional initiatives

AWS experience highly preferred but not required

Military experience strongly preferred

What We Offer:

Unlimited PTO – Take the time you need to recharge and maintain work-life balance

Dedicated Sick Time – Your health and wellbeing come first

Comprehensive Health & Benefits – Medical, dental, and vision coverage to keep you and your family protected

11 Paid Holidays – Enjoy time off throughout the year to celebrate and spend with loved ones

Professional Development – Educational opportunities and resources to help you grow your skills and advance your career

Collaborative Environment – Work directly with leadership in our flat organizational structure where your ideas and contributions matter

Mission-Driven Work – Contribute to projects that directly support national security and make a real-world impact

Growth Opportunities – Join us during an exciting expansion phase where you can help shape our future

Skills

AI Fairness 360AI/MLAWSBias DetectionCI PolygraphFairlearnModel InterpretabilityPythonResponsible AITS/SCI ClearanceWhat-If Tool

RAI Implementation Engineer - Senior

About this role

Key Responsibilities

Qualifications

What We Offer:

Skills

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