Job description

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 Blue National Security (BNS), where our focus is the design, development, and delivery of launch and spacecraft systems for national security missions. Through Blue Ring, our all-in-one, high-powered hybrid solar-electric and chemical-propelled spacecraft, we provide unmatched mission maneuverability, versatility, and capacity at dramatically lower-profile costs. Blue Ring is Blue Origin s multi-mission space mobility platform, and this team is building the next generation of intelligent ground systems that will redefine how satellite fleets are operated—moving beyond manual monitoring and reactive processes. We are seeking a Principal AI Engineer to join the Blue Ring software team. You will lead the development of AI and machine learning capabilities embedded in Blue Ring s ground system, spanning multi-agent monitoring, conversational knowledge retrieval, and ML-driven anomaly detection that empower satellite operations at fleet scale. In this role, you will build agent tooling, maintain RAG knowledge pipelines, develop telemetry ML models, and support production AI services that operators rely on daily. Role and Responsibilities: As a member of the Blue Ring AI/ML engineering team, you will contribute to the AI/ML systems that form the intelligence layer for Blue Origin s satellite fleet operations. You will be expected to: Multi-Agent System Development: Implement and test agent components within the multi-agent architecture for telemetry analysis, anomaly detection, and reporting Build and maintain integrations that connect agents to ground system services Develop agent tooling, prompt templates, and orchestration logic for LLM service integrations Build and maintain RAG pipeline components including document ingestion, embedding generation, and vector database indexing Implement retrieval strategies and answer generation workflows for operator queries Implement components for human-in-the-loop decision workflows, including investigation packages and remediation options Deploy and maintain containerized AI services using Docker and AWS infrastructure Contribute to audit trail, observability systems, and production operations including incident response Model Development (Post-training and Time-series Analysis): Prepare and transform spacecraft telemetry data for ML model training Assist in training and evaluating anomaly detection and time-series forecasting models on telemetry data Support automated model retraining pipelines that incorporate new flight data and operator feedback Develop model evaluation scripts and metrics tracking Required Qualifications: Able to work onsite in one of our Kent, WA, Renton, WA, or Reston, VA offices. Bachelor s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field 10 years of professional software development experience with exposure to AI/ML applications Proficiency in Python and familiarity with at least one AI/ML framework (PyTorch, TensorFlow) Experience with building or contributing to LLM-based applications, RAG pipelines, or agent-based systems Exposure to time-series data processing, anomaly detection, or ML model training on sensor or telemetry data Experience with cloud platforms (AWS preferred), containerization (Docker), and basic CI/CD practices Solid understanding of CS fundamentals: data structures, algorithms, object-oriented design, and version control Strong analytical and problem-solving skills with attention to detail Good written and verbal communication skills for documentation and team collaboration Preferred Qualifications: PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services Experience with Databricks or similar platforms for data engineering and ML workflows Familiarity with vector databases (e.g., Pinecone, pgvector, FAISS) and embedding model pipelines Experience with time-series ML architectures (RNNs, LSTMs, Transformers) for forecasting or anomaly detection Exposure to multi-agent system frameworks or agentic AI orchestration patterns Familiarity with spacecraft operations, satellite telemetry, or aerospace engineering concepts Experience with infrastructure-as-code tools (Terraform) and Kubernetes Experience with real-time data streaming systems (Kafka, Kinesis) Familiarity with reinforcement learning concepts or graph neural network applications Interest or experience in model compression, edge deployment, or resource-constrained inference Base Pay Range for: VA applicants is $230,773.00 - $323,081.85 WA applicants is $230,773.00 - $323,081.85 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. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue’s Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical 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. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here . Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance blueorigin.com . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.

Requirements

Must-haves

Applications will be accepted on an ongoing basis until the requisition is closed.
As a member of the Blue Ring AI/ML engineering team, you will contribute to the AI/ML systems that form the intelligence layer for Blue Origin s satellite fleet operations. You will be expected to:
Implement and test agent components within the multi-agent architecture for telemetry analysis, anomaly detection, and reporting
Build and maintain integrations that connect agents to ground system services
Develop agent tooling, prompt templates, and orchestration logic for LLM service integrations
Build and maintain RAG pipeline components including document ingestion, embedding generation, and vector database indexing
Implement retrieval strategies and answer generation workflows for operator queries
Implement components for human-in-the-loop decision workflows, including investigation packages and remediation options
Deploy and maintain containerized AI services using Docker and AWS infrastructure
Contribute to audit trail, observability systems, and production operations including incident response
Model Development (Post-training and Time-series Analysis):
Prepare and transform spacecraft telemetry data for ML model training

Nice-to-haves

Experience with cloud platforms (AWS preferred), containerization (Docker), and basic CI/CD practices
PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field
Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services
Experience with Databricks or similar platforms for data engineering and ML workflows
Familiarity with vector databases (e.g., Pinecone, pgvector, FAISS) and embedding model pipelines
Experience with time-series ML architectures (RNNs, LSTMs, Transformers) for forecasting or anomaly detection
Exposure to multi-agent system frameworks or agentic AI orchestration patterns
Familiarity with spacecraft operations, satellite telemetry, or aerospace engineering concepts
Experience with infrastructure-as-code tools (Terraform) and Kubernetes
Experience with real-time data streaming systems (Kafka, Kinesis)
Familiarity with reinforcement learning concepts or graph neural network applications
Interest or experience in model compression, edge deployment, or resource-constrained inference

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlllmdockerawspythonci/cdkubernetes

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave