AI/ML engineer II

Application close date:

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

This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.

We are building AI-powered operational tooling that turns fragmented telemetry, documentation, and runbooks into fast, trustworthy answers for the engineers who run our systems. We're looking for an AI/ML Engineer to design, build, and operate agentic workflows that detect incidents, investigate root causes, and guide engineers to resolution across edge-to-cloud production systems.

You will work with platform, operations, and software teams to define agent capabilities, build the tool and knowledge layers behind them, and take them from prototype to audited production deployment. Your work will cut investigation time from the better part of an hour to minutes and enable self-service debugging for our on-floor technicians and engineers.

 

Key Responsibilities

- Design and build multi-agent systems for incident triage and root cause analysis, using specialized agents (log analysis, metrics analysis, root cause analysis) coordinated by a central orchestrator
- Build and maintain Knowledge Bases over internal documentation, runbooks, and escalation paths, including ingestion pipelines, chunking and retrieval strategy, and relevance evaluation
- Provision and manage AI infrastructure as code with AWS CDK, with repeatable deployments across environments
- Define evaluation frameworks and metrics for agent accuracy, hallucination rate, tool-call correctness, latency, and cost, and drive continuous improvement
- Partner with  engineers and domain teams to turn real incident patterns into new tools, agents, and knowledge content
- Document agent architectures, tool interfaces, guardrails, and operational runbooks for the AI assistant itself

 

Basic Qualifications

- Bachelor's in Computer Science, Electrical Engineering, or a related field
- 2+ years of software or ML engineering experience, including production systems
- Hands-on experience building LLM-based applications, including prompt engineering, tool use or function calling, and retrieval-augmented generation (RAG)
- Experience with AWS services such as Lambda, S3, DynamoDB, CloudWatch, and IAM
- Programming skills in Python, with experience building APIs and services
- Experience with infrastructure as code (AWS CDK, CloudFormation, or Terraform)
- Familiarity with observability concepts: logs, metrics, traces, alerting, and incident response
- Ability to write clear design documents, interface definitions, and operational documentation

 

Desired Qualifications

- Experience designing multi-agent orchestration patterns and agent-to-agent communication
- Experience with OpenSearch or other vector and hybrid search systems
- Experience building evaluation harnesses for LLM and agent systems, including offline benchmarks and LLM-as-judge methods

 

Base Pay Range for:

CA applicants is $134,961.00 - $188,945.40 WA applicants is $134,961.00 - $188,945.40

Other site ranges may differ

Culture Statement

Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Benefits

• Benefits include:  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.
• Stock Options for all regular employees (working at least 20 hours/week)
• Paid Time Off:  Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
• Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.