Hybrid Senior AI/ML Data Platform Engineer

RPMGlobal; Washington, Northern (District of Columbia, KY); Hybrid; USD 242,000 - 305,000; Full time

Job summary

BI&A, a Boeing subsidiary, is seeking a Senior AI/ML Data Engineer to lead enterprise-scale AI data platform design and implementation. The role spans vector databases, semantic search, RAG, LLMs, and Agentic AI, collaborating with security and software teams to deliver scalable, secure AI solutions.

You will guide architectural tradeoffs, ensure data quality and explainability, and communicate operational impacts to senior leaders. Hybrid onsite (DC/VA) with a contingent program award.

Qualifications

• 20 years of experience in AI/ML, Data, or Software Engineering roles or related field.

Responsibilities

• Architect, build, and maintain enterprise-scale AI data platforms (vector DBs, semantic search, RAG, Agentic AI).
• Establish data quality, lineage, source attribution, traceability, explainability, and evaluation of AI outputs.
• Lead AI data infrastructure decisions balancing performance, security, scalability, and cost.
• Collaborate with Data Scientists, ML Engineers, Architects, Cybersecurity, and Software Engineers to productionize AI capabilities.
• Translate complex AI concepts into actionable operations and risk mitigation for leadership.
• Coordinate across organizations to maximize reuse of enterprise AI capabilities.
• Implement monitoring, observability, and alerting for reliable AI platforms.
• Mentor engineers and promote engineering best practices and innovation.
• Evaluate emerging AI tech, vector databases, and retrieval frameworks to improve capabilities.

Skills

Python

SQL

Cloud platforms

Distributed systems

CI/CD

Observability tooling

Vector databases

MLOps

Education

Bachelor’s degree substitution 4 years experience

Master’s degree substitution 6 years experience

Tools

Azure

AWS

Google Cloud

CI/CD pipelines

Job description

BI&A, a Boeing subsidiary, is seeking a Senior AI/ML Data Engineer to lead enterprise-scale AI data platform design and implementation. The role spans vector databases, semantic search, RAG, LLMs, and Agentic AI, collaborating with security and software teams to deliver scalable, secure AI solutions.

You will guide architectural tradeoffs, ensure data quality and explainability, and communicate operational impacts to senior leaders. Hybrid onsite (DC/VA) with a contingent program award.