Senior AI/ML Data 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

Senior AI/ML Data Engineer

Why This is an Exciting Role:

BI&A is seeking a highly experienced Senior AI/ML Data Engineer to lead the design and implementation of enterprise-scale data platforms supporting a large-scale Agentic AI transformation initiative. With extensive experience delivering AI and machine learning solutions in complex enterprise environments, you will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model (LLM) applications, and emerging Agentic AI capabilities. You will work across infrastructure, cybersecurity, software engineering, and mission stakeholders to rapidly deliver scalable, secure, and reliable AI solutions. This role requires a seasoned engineer capable of communicating complex technical concepts and architectural tradeoffs to senior leaders, helping leadership teams understand the operational, mission, security, and business implications of emerging AI technologies while driving successful implementation of enterprise capabilities.

KEYRESPONSIBILITIES

• Enterprise AI Platform Engineering:Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model applications.
• Data Architecture & Strategy:Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
• AI Data Governance:Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
• Technical Leadership:Lead architectural decision-making for AI-supporting data infrastructure, balancing performance, scalability, security, reliability, maintainability, and cost considerations.
• Cross-Functional Integration:Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to translate AI requirements into production-grade capabilities.
• Executive Communication:Translate highly technical AI, machine learning, and data architecture concepts into clear operational impacts, risks, opportunities, and implementation considerations for senior leadership.
• Enterprise Coordination:Coordinate with stakeholders across multiple organizations to align AI initiatives, maximize reuse of enterprise capabilities, and eliminate duplication of effort.
• Operational Excellence:Implement monitoring, observability, and alerting to ensure the reliability, performance, and continuous improvement of AI-supporting data platforms.
• Mentorship & Engineering Excellence:Provide technical leadership and mentorship to engineers while promoting engineering best practices and innovation across the organization.
• Technology Evaluation:Assess emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches to improve organizational AI capabilities.

Experience and Qualifications:

To be eligible for this demanding position, the ideal candidate should demonstrate the following experience and qualifications:

Required Education and Years of Experience:

• 20 Years of experience in AI/ML, Data, or Software Engineering roles or highly related field of work with similar scope and responsibilities.
• A Bachelor’s degree may be substituted for 4 years of experience and a Master’s Degree may be substituted for 6 years of experience.

Required Qualifications:

• Active TS/SCI with CI Polygraph
• Expert proficiency in Python, SQL, and modern software engineering practices.
• Deep experience with Azure, AWS, or Google Cloud data and AI platforms.
• Strong understanding of distributed systems, cloud-native architectures, MLOps, and AI platform engineering.
• Experience implementing vector databases, embedding pipelines, retrieval systems, and Retrieval-Augmented Generation architectures.
• Experience with CI/CD pipelines, orchestration platforms, infrastructure automation, and observability tooling.

Desired Qualifications:

• Proven experience designing and delivering enterprise-scale AI, machine learning, generative AI, or Agentic AI solutions.
• Demonstrated success architecting and implementing production cloud-native data systems supporting advanced analytics and AI workloads.
• Proven experience working within complex enterprise environments managing security, infrastructure, technology dependencies, governance requirements, and competing priorities.
• Extensive experience designing data pipelines supporting machine learning models, vector databases, semantic search capabilities, and generative AI applications.
• Proven experience delivering complex technical solutions from strategic requirements through operational deployment while balancing schedule, performance, capability, and cost objectives.
• Experience building and operating enterprise-scale vector search, RAG, knowledge management, and LLM-based platforms.
• Experience supporting AI adoption efforts within large government, defense, intelligence, or highly regulated organizations.

Telework/Remote Availability:

Hybrid work authorized (minimum 2-3 days onsite)

Work Location(s):

Washington, DC or Reston, VA

Contingent Upon Program Award

The position is contingent upon program award.

Summary Pay Range:

Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.

$242,000 - $305,000

What Makes BI&A Different:

As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with exceptional opportunities supported by a large corporation.

Every day, Boeing Intelligence & Analytics supports global missions by building and delivering intelligence, analytics, and cyber solutions that enable users to advance national security. From hardware and software engineering solutions to analytics that keep this nation safe, we create value that meets users’ needs. With vibrant partnerships and innovative approaches, we serve the Intelligence Community through innovation and vision. We have provided our customers with the tools needed to counter evolve global and cyber threats, and to improve wartime decision-making.

• Our talented employees bring software development, systems engineering, and advanced analytics expertise.
• We offer numerous prime contract opportunities with customers headquartered in Maryland, Virginia, and the District of Columbia, as well as subcontract opportunities that align with our areas of focus and additional opportunities nationwide through our parent company.
• We have current open positions on awarded programs across diverse customer sets and are anticipating upcoming contract awards with a 5-year life cycle and an additional 5 option years.
• Our diverse portfolio allows our employees to move to other projects and teams as they gain further proficiency in their current skill set and learn new skill sets along the way.
• We offer hands-on access to cutting-edge technologies and a culture of technical excellence.

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