RAI Implementation Engineer - Senior in Giesboro

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job DescriptionJob DescriptionSpear 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
• 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 but not required
• Military experience strongly

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 security and make a real-world impact
• Growth Opportunities – Join us during an exciting expansion phase where you can help shape our future

We offer competitive compensation tailored to your experience, location, and the impact you’ll make. We’re committed to equitable pay and will share a range aligned to your level and geography during the hiring process. In accordance with state law, candidates in jurisdictions such as CA, CO, WA, NY, and others where applicable, will be provided a good-faith salary range upon request and through the hiring process. This is a full-time, exempt position under the Fair Labor Standards Act (FLSA), and is not eligible for overtime pay. Compensation for this position is provided on a salaried basis and is not subject to reduction based on hours worked. At Spear AI, you'll find more than just a job, you'll join a mission-driven team where your work directly contributes to security. Our flat organizational structure means your voice matters, your ideas reach leadership, and your impact is visible. As we grow, we're committed to building robust processes and infrastructure that support both our mission and our people. We value collaboration, continuous improvement, and the expertise each team member brings to the table. If you're looking for a place where you can grow professionally while working on projects that truly matter, we'd love to hear from you.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.