Deputy, AI Integration & Assurance

We're going to the Moon. Think you've got what it takes?

At Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and beyond. We're looking for a Deputy, AI Integration & Assurance to accelerate the responsible adoption of artificial intelligence across engineering, mission operations, and business functions — identifying where AI can transform how we work, building teams' capability to use it well, and establishing methods to verify that AI systems deliver the intended result safely and reliably.

This is not a conventional HR or corporate-training role. It sits at the intersection of organizational transformation, internal product development, systems thinking, AI evaluation, and mission assurance. You'll work directly with engineers, operators, leaders, and domain experts to translate real work into trustworthy human-AI systems.

Both onsite and remote candidates will be considered. If remote, regular on-site presence at our Westminster, CO headquarters, planned as a consolidated multi-day visits will be required, plus additional travel as needed. You'll report to the Chief AI Officer.

Advanced Space exists to enable the sustainable exploration, development, and settlement of space through innovative software, mission services, and technology solutions. As the owner and operator of NASA's CAPSTONE™ mission and the Prime Contractor for AFRL's Oracle mission, we're helping shape the future of cislunar exploration while supporting commercial, civil, and national security customers.

Our team combines deep technical expertise with an entrepreneurial mindset. We move quickly, collaborate across disciplines, and empower every engineer to make meaningful contributions. If you're passionate about solving challenging problems and making great work visible to the world, you'll fit right in.

Partner with engineering, mission operations, and business teams to find workflows where AI can materially improve speed, quality, capability, or reliability — and help teams rethink how the work gets done, rather than merely automate current practice. Design and lead practical, role-specific AI adoption programs that build durable capability across the company, and develop methods to measure adoption, workflow impact, quality, reliability, and return on investment.

Work with technical counterparts to define requirements and priorities for specialized internal AI products, tools, agents, and knowledge systems. Lead discovery, prototyping, user feedback, and iterative improvement for internal AI-enabled products.

Establish and own the company's framework for autonomous verification of engineering analyses, operational work, software, and AI-agent outputs, in partnership with engineering leads who own domain correctness. Design evaluation approaches that test whether AI systems achieve the underlying intent of an objective, not merely a superficially correct result. Identify and mitigate risks including hallucination, over reliance, metric gaming, weak evaluation design, and unsafe tool use.

Establish organizational practices for safe human oversight, escalation, accountability, and continuous improvement of AI-enabled workflows. Translate AI capabilities, limitations, and risks into clear operational guidance for both technical and nontechnical audiences.

Stay current on emerging AI capabilities, evaluation methods, agentic systems, and relevant practices in high-reliability industries. Build strong partnerships with…