Senior Manager – Software Engineering – Generative AI
| Company | Blue Origin |
|---|---|
| Location | Seattle, WA, USA, Merritt Island, FL, USA, Huntsville, AL, USA |
| Salary | $191265 – $267771 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior |
Requirements
- Master’s or equivalent experience in Computer Science, Physics, Statistics or other STEM degree.
- 8+ Years of Software and systems engineering in fast paced environments
- 2+ Years in building products that use or incorporate Large Language Models
- 2+ Years experience developing solutions with AWS Bedrock and Azure OpenAI
- Ability to support a driven a dynamic environment with high accountability and ownership
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
- Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Responsibilities
- Lead and manage the enterprise GenAI engineering team in successfully implementing advanced technologies in Blue Origin systems
- Hire and staff the software engineering team to execute against the enterprise GenAI goals and product roadmap.
- Develop and provide core infrastructure for enterprise GenAI including large language models, retrieval augmented generation, agentic frameworks, fine tuning, multi-modal ingestion, vectorization, and other generative AI architectural components and techniques
- Develop leading edge solutions with a focus on enterprise level tools
- Partner with customers to identify needs and create innovative solutions, working in concert with the product manager to develop and execute against a GenAI product roadmap and capability set
- Collaborate with external partners like OpenAI, Anthropic, AWS, Google, and other LLM and AI service providers to integrate and securely enable market leading GenAI capabilities at Blue Origin.
- Provide technical expertise and leadership to ensure safe and efficient operations
- Report directly to Vice President Enterprise Technology and contribute to the overall strategy and objectives of the AI and Emerging Technologies engineering department
- Own and optimize production and enterprise AI systems, ensuring exceptional performance and reliability, and instrumenting for performance, cost, and quality
- Work directly with product managers and senior leaders on the roadmap, products, and capabilities to drive an Enterprise level scope
- Grow and mentor dedicated individuals and future leaders
Preferred Qualifications
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No preferred qualifications provided.