Principal AI & Data Platform Architect

blueorigin; Seattle (WA); On-site; USD 231,000 - 323,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Parental leave

PTO and holidays

Stock options

Job summary

Blue Origin is seeking a Principal Software Engineer to set the technical direction for its enterprise knowledge and agentic AI platform. You will own the lakehouse, knowledge graph, retrieval systems, and NLP interfaces used by engineering, manufacturing, and mission teams.

As a hands-on senior IC, you will write production code, build reference implementations, and mentor engineers while driving reusable APIs, CI/CD, and observability.

Qualifications

• 10+ years building production software.
• 7+ years cross-team architecture ownership.
• Delivered production LLM, RAG, or agentic AI systems end to end.
• Experience with lakehouse architectures and AWS IaC.

Responsibilities

• Own architecture and roadmap for Blue Origin's agentic AI platform.
• Stay hands-on across the full stack—write production code and build reference implementations.
• Design shared capabilities exposed via APIs and MCPs.
• Set architecture direction across the platform portfolio with reusable patterns and CI/CD.
• Mentor senior/mid-level engineers and set standards such as ADRs.
• Establish AI evaluation and observability: regression suites, latency, and cost metrics.
• Ensure AI output is provenance-grounded with traceability and access controls.

Skills

Production software

Architectural leadership

LLM/agentic AI

Python development

AWS with IaC

Education

Graduate degree in AI or related field

Tools

Spark

Delta Lake

Neo4j

OpenSearch

Terraform

CDK

Job description

Blue Origin is seeking a Principal Software Engineer to set the technical direction for its enterprise knowledge and agentic AI platform. You will own the lakehouse, knowledge graph, retrieval systems, and NLP interfaces used by engineering, manufacturing, and mission teams.

As a hands-on senior IC, you will write production code, build reference implementations, and mentor engineers while driving reusable APIs, CI/CD, and observability.