Principal AI Engineer

BLUE ORIGIN

. Lead development of AI and machine learning capabilities embedded in Blue Ring's ground system .

Posted 10/22/2026full-timeUnited StatesLead💰 $230,773 - $323,082 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and machine learning development, particularly in building and maintaining LLM-based applications and RAG pipelines. Proficient in Python and containerization technologies, with a strong foundation in data structures and algorithms.

Highest-signal resume keywords

Python ProgrammingAI/ML FrameworksAWS Cloud PlatformsDocker ContainerizationAnomaly Detection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningTelemetry AnalysisTime-Series Data ProcessingModel TrainingData StructuresAlgorithmsObject-Oriented DesignVersion ControlRAG Pipeline DevelopmentAgent-Based Systems

Soft Skills

Analytical SkillsProblem-Solving SkillsAttention to DetailWritten CommunicationVerbal Communication

Tools & Technologies

AWS BedrockSageMakerDatabricksTerraformKubernetesKafkaKinesis

Certifications & Qualifications

Bachelor's Degree in Computer SciencePhD in Computer Science (Preferred)

Industry Keywords

Spacecraft OperationsSatellite TelemetryAerospace EngineeringHuman-in-the-Loop WorkflowsReinforcement Learning

Tech Stack

Tools & technologies

AWSCloudDockerKafkaKubernetesPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Lead development of AI and machine learning capabilities embedded in Blue Ring's ground system
Implement and test agent components for telemetry analysis, anomaly detection, and reporting
Build and maintain integrations connecting agents to ground system services
Develop agent tooling, prompt templates, and orchestration logic for LLM 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 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 trails, observability systems, production operations, and incident response
Prepare and transform spacecraft telemetry data for ML model training
Assist in training and evaluating anomaly detection and time-series forecasting models
Support automated model retraining pipelines using new flight data and operator feedback
Develop model evaluation scripts and metrics tracking

Requirements

What you’ll need

Able to work onsite in one of the 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, such as PyTorch or TensorFlow
Experience 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, preferably AWS
Experience with containerization using Docker and basic CI/CD practices
Solid understanding of 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
U.S. citizen or national, U.S. permanent resident, or lawfully admitted U.S. refugee or asylee
Successful completion of Blue's Standard Background Check
Preferred: PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field
Preferred: Experience with AWS Bedrock, SageMaker, Databricks, vector databases, time-series ML architectures, multi-agent frameworks, Terraform, Kubernetes, Kafka, Kinesis, reinforcement learning, graph neural networks, model compression, edge deployment, or resource-constrained inference
Preferred: Familiarity with spacecraft operations, satellite telemetry, or aerospace engineering concepts

Benefits

Comp & perks

Medical, dental, and vision insurance
Basic and supplemental life insurance
Paid parental leave
Short- and long-term disability
401(k) with a company match of up to 5%
Education Support Program
Stock options for all regular employees working at least 20 hours/week
Up to four weeks of paid time off per year based on weekly scheduled hours
Up to 14 company-paid holidays
Potential benefits and bonuses based on role type, job level, individual contributions, and company results