Engines AI Program Execution & Design Implementation Lead

Engines AI Program Execution & Design Implementation Lead

Blue Origin

Application close date: ongoing.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We are developing reusable, safe, and low‑cost space vehicles and systems within a culture of safety, collaboration, and inclusion. This role is part of the Blue Origin Engines business unit, focusing on the design, development, manufacturing, and testing of engines and propulsion systems.

• Own the AI/ML strategy for Engines program execution, including engine design optimization.
• Collaborate with program leaders to understand current business problems & explain how AI/ML‑aligned tools provide appropriate technical solutions.
• Understand the depth & breadth of technologies available to Blue Engines, advocate targeted AI/ML adoption & work with BU/program/ESE&I SME stakeholders to ensure these technologies are developed/matured based on transparent stack‑ranked program‑aligned value criteria.
• Partner with stakeholders to deliver established methods/workflows & mentor engineers in appropriate AI/ML usage to realize the benefits of these methods/workflows.
• Partner across Blue Origin BUs & supporting Functions to share use cases showcasing the benefits of AI/ML adoption. Actively share learnings and best practices across Blue.
• Maintain a very high level of familiarity with AI technologies/best practices applicable to Blue Engines. This includes AI industry engagement and attending seminars/conferences as appropriate to maintain leading‑edge knowledge aligned to the Engines business.
• Research, identify, assess, and validate emerging technologies to continuously increase the team’s ML and AI capabilities.
• Where appropriate, write code that supports implementation of NLP & LLM models and algorithms. Develop best practices to ensure high quality, scalability, and reliability – and mentor Engines personnel in these established best practices.
• Work within the Engines Agile environment to deliver fast‑paced solutions that meet the needs of the business.
• Maintain appropriate metrics on AI/ML adoption/usage within the Engines BU.
• Travel as appropriate 1‑2 times per quarter to Blue sites, conferences, seminars.

• Extreme passion for using AI/ML as an enabler in a complex product development environment.
• Minimum of a B.S. degree in Engineering or STEM/technical field.
• 8+ years of experience in a relevant engineering field, with significant experience in design & development of rocket propulsion systems, including knowledge across relevant engineering disciplines, including requirements, design, analysis, manufacturing, testing and vehicle integration.
• Solid understanding of leading‑edge AI, statistical and machine learning (ML) techniques; experience with supervised, unsupervised, generative, semi‑supervised, self‑supervised modeling approaches.
• Familiarity with industry‑leading tools in both the AI/ML & rocket engine design/development domains: GPT, LLM, ANSYS, aPriori, Jules, Windchill/Creo.
• Proven track record of leading and managing teams to deliver complex rocket engine system/ component designs.
• Demonstrated ability to lead change and drive continuous improvement.

• Masters or PhD in CS, Physics, Math, Engineering, or other STEM fields.
• Ability to deploy solutions using tools such as Git Lab, AWS, Docker, Kubernetes, and familiarity with visualization tools like Plotly/Dash, Java script/D3/Go.js, and Streamlit. Comfortable working with both structured and unstructured data; experience with SQL, REST APIs, and custom scripting.
• Experience with Agile, IMP‑level scheduling, risk management, configuration management, requirements management processes.
• Hands‑on experience with the development lifecycle of propulsion components and systems.

• WA applicants: $ – $.
• Other site ranges may differ.

• Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long‑term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
• Paid Time Off:
  Up to four (4) weeks per year based on…