Lunar AI Engineer

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

This role is part of the Lunar Permanence business unit, which develops Blue Origin’s Blue Moon landers and related products. To further Blue Origin's mission of millions of people living and working in space for the benefit of Earth, we are building sustainable infrastructure for our transport of crew and cargo from Earth to the lunar surface.

As a Lunar AI Engineer, you will accelerate Blue Origin’s mission by driving AI/ML strategy, adoption, and deployment across highly specialized engineering and program teams. In this role, you will lead the creation and coordination of a network of existing and new AI tools and agents across Lunar vehicles and Core Component teams. You will evangelize advanced AI tools and processes, identify opportunities for AI-enabled acceleration, and oversee implementation while mitigating technology risks and ensuring alignment with program objectives.

• Communicates and translates complex AI/ML concepts into actionable projects

• Strategically targets and decomposes ambiguous challenges into solvable AI opportunities

• Demonstrates AI value through clear KPIs, adoption trends, and productivity gains

• Accelerates adoption through partnerships and demonstrated successes, becoming a trusted advisor for AI-enabled solutions

• Partner with Lunar leadership to define and execute an AI/ML strategy that accelerates Lunar programs and lowers the cost of access to space

• Lead a Lunar AI community of practice to identify and de-risk forward-thinking AI deployments for future mission capabilities

• Accelerate training and upskilling through structured onboarding programs, certification paths, and targeted workshops to bring the entire organization—not just early adopters—up to speed on practical AI use

• Embed directly with Lunar teams to identify high-value use cases, architect custom solutions, and ensure deployments follow best practices

• Contribute to technical solutions involving LLM, MCP, and NLP models; develop scalable, reliable, and repeatable templates for adoption

• Evaluate and orchestrate emerging AI technologies, pilot promising tools, and lead the organizational change efforts required to adopt them at scale

• Serve as primary liaison with Enterprise AI efforts to ensure Lunar's needs shape platform development

• Travel 1-2 times per quarter to Lunar sites, conferences, and seminars

• Extreme passion for AI/ML as an enabler in complex product development

• B.S. in Engineering, Computer Science, or STEM field

• 5+ years in relevant engineering with space launch vehicle and/or in-space systems experience across disciplines (requirements, design, analysis,, testing, integration)

• Strong understanding of AI and ML techniques (supervised, unsupervised, generative, semi-supervised, self-supervised approaches)

• Familiarity with industry tools: GPT, LLMs, MCP, Agents, Windchill/Creo, Jama

• Demonstrated track record leading project teams to deliver complex engineering projects

• Proven ability to build and lead communities of practice and deliver clear communication to senior and executive leaders

• M.S. in computer science, math, data science, or STEM field

• 2+ years creating and/or working on ML / NLP / LLM / MCP solutions

• Experience utilizing LLM fundamentals, ML Frameworks, and Deep Learning techniques

• Experience with
  
  LOps and deployment via Git Lab, AWS, Docker, and Kubernetes

• Experience with Agile, IMP-level scheduling, systems engineering, and risk/configuration/requirements management

• Hands-on experience with the development lifecycle of launch vehicles and/or lunar lander systems

Compensation Range for:

CO applicants is $-$; WA applicants is $-$

Other site ranges may differ

Don’t meet all…