Senior Software Developer - AI Implementation

BLUE ORIGIN•West Melbourne, WA

13d•$197,529 - $276,540

About The Position

This role supports the development and operations of New Glenn, a heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable. You will help build and sustain AI tools that improve New Glenn’s ability to deliver on schedule, successfully fly payloads, and maintain cost discipline. This role centers on the ongoing engineering ownership of an AI assistant deployed enterprise-wide, alongside broader AI and emerging-technology initiatives. The platform understands Blue’s internal data and is in active use across engineering, manufacturing, quality, and supply chain, with a large and growing user base and a live feedback backlog. You will own the sustaining engineering, feedback triage, and new capability development that keep it accurate and trusted. The successful candidate will work in partnership with senior New Glenn leadership and collaborate with users to prioritize needs and perform tool upgrades, including training, documentation, tool rollout, and support to the team. Strong technical skills, excellent communication, and training skills are necessary for success in this role. We are looking for a self-starter who can work autonomously and take initiative in a fast-paced environment. Passion for our mission and vision is required!

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
10+ years of professional software development experience, with a significant focus on AI and machine learning in production environments.
Demonstrated ownership of a production software product through its full sustaining lifecycle, including on-call or user-facing support responsibility.
Experience building and operating LLM-based or agentic applications in production, including prompt and context engineering, tool/function calling, retrieval over enterprise data, and evaluation of non-deterministic output.
Deep understanding of AI/ML models, algorithms, and frameworks such as TensorFlow, PyTorch, or similar.
Proficient with SQL, Python, and Power Query.
Experience with Git-based development workflows, code review, and CI/CD pipelines.
Experience integrating with enterprise engineering and business systems via REST or GraphQL APIs, such as PLM, MES, ERP, requirements management, or ITSM platforms.
Ability to work effectively under pressure and within tight deadlines.
Strong attention to detail and organizational skills.
Demonstrated judgment in verifying data before acting on it, and comfort stating uncertainty explicitly rather than presenting an unverified answer as fact.
Excellent communication skills, capable of conveying complex technical concepts to both technical and non-technical stakeholders.
Strong project management skills, with the ability to lead multiple projects simultaneously, and comfort balancing sustaining work against new development.
Proven track record of fostering a collaborative and innovative team culture.

Nice To Haves

Familiarity with VBA is a plus.
Prior experience analyzing large sets of data and tracking hardware throughout all stages of a part’s lifecycle is a plus.
Experience with integrating AI solutions into large-scale software systems and infrastructure.

Responsibilities

Own the recurring maintenance cadence for an internal AI platform, including dependency and model version management, continuous integration health, and release cuts
Build and maintain automated regression coverage for a library of 30+ production AI workflows, establishing test suites where manual verification is the current practice.
Monitor and remediate upstream data and schema drift across integrated enterprise systems (design inputs, manufacturing execution, enterprise resource planning, requirements management, and data warehouse), where a silent upstream change can produce confidently incorrect output.
Implement and enforce machine-checkable guardrails for accuracy, safety, and data-handling rules
Own triage, disposition, and closure of a high-volume user feedback queue
Report on backlog health, inflow and outflow rates, and quality trends to senior leadership.
Innovate proactively by proposing new ideas and solutions that leverage AI to solve business problems.
Design, build, and release new AI-assisted workflows for engineering, manufacturing, quality, and supply chain users, from requirements through validation and rollout.
Conduct rigorous performance testing and fine-tuning of AI models (when necessary) to ensure robustness and scalability.
Manage and mentor partner development team(s) providing technical guidance, performance feedback, and fostering a collaborative and innovative work environment to achieve project goals and objectives.
Collaborate with engineers, technicians, and analysts to derive insights and drive data-driven decision making.
Provide thought leadership on AI strategy and roadmap planning within the organization.