Senior AI/ML Data Engineer - Vector DB & RAG Platform Lead

Boeing Intelligence & Analytics; Washington (District of Columbia); Hybrid; USD 242,000 - 305,000; Full time

Job summary

Boeing Intelligence & Analytics seeks a Senior AI/ML Data Engineer to lead design and delivery of enterprise-scale data platforms enabling vector search, RAG, LLM apps, and Agentic AI capabilities in a hybrid Washington, DC area role.

You will collaborate across Data Science, ML Engineers, Architects, Cybersecurity, and Software teams to ensure reliability, observability, and production readiness, with a focus on governance, traceability, and scalable AI infrastructure.

Qualifications

• 20 years of experience in AI/ML, Data, or Software Engineering.
• Active TS/SCI with CI Polygraph.
• Expert proficiency in Python and SQL.
• Deep experience with Azure, AWS, or Google Cloud data and AI platforms.
• Strong understanding of distributed systems and cloud-native architectures.
• Experience implementing vector databases, embedding pipelines, Retrieval-Augmented Generation (RAG).
• Experience with CI/CD pipelines and observability tooling.

Responsibilities

• Architect, build, and maintain enterprise-scale data platforms for vector databases, semantic search, and RAG.
• Define and implement data quality, lineage, source attribution, and prompt/context traceability.
• Support explainability and evaluation of AI outputs through measurable, operational feedback loops.
• Lead architectural decisions for AI-supporting data infrastructure balancing performance, scalability, security, reliability, maintainability, and cost.
• Partner with Data Scientists, ML Engineers, Architects, Cybersecurity, and Software Engineers to production-grade capabilities.
• Translate complex AI topics into operational impacts, risks, opportunities, and implementation considerations for senior leadership.
• Coordinate across multiple organizations to align AI initiatives and maximize reuse of enterprise capabilities.
• Implement monitoring, observability, and alerting to ensure reliability and performance.
• Provide technical leadership and mentorship, promoting engineering best practices and innovation.
• Evaluate emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches to expand organizational AI capabilities.

Skills

Python

SQL

Azure

AWS

Google Cloud

MLOps

Vector databases

RAG

CI/CD

Observability

Education

Bachelor’s degree

Master’s degree

Tools

Data platforms

CI/CD pipelines

Observability tooling

Job description

Boeing Intelligence & Analytics seeks a Senior AI/ML Data Engineer to lead design and delivery of enterprise-scale data platforms enabling vector search, RAG, LLM apps, and Agentic AI capabilities in a hybrid Washington, DC area role.

You will collaborate across Data Science, ML Engineers, Architects, Cybersecurity, and Software teams to ensure reliability, observability, and production readiness, with a focus on governance, traceability, and scalable AI infrastructure.