Senior AI/ML Data Engineer

Boeing is seeking a Senior AI/ML Data Engineer for a hybrid role based in the Washington, DC area. The position will help lead enterprise-scale data platform design and delivery to support an Agentic AI transformation, including vector search, RAG, LLM applications, and related emerging capabilities.

Responsibilities

• Architect, build, and maintain enterprise-scale data platforms for vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model applications.
• Define and implement controls for data quality, lineage, source attribution, and prompt and context traceability, including explainability and evaluation of AI output.
• Drive architectural decision-making for AI-supporting data infrastructure, balancing performance, scalability, security, reliability, maintainability, and cost.
• Collaborate with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to convert AI requirements into production-grade capabilities.
• Translate technical AI, machine learning, and data architecture concepts into operational considerations for senior leadership, including impacts, risks, opportunities, and implementation factors.
• Coordinate with stakeholders across organizations to align AI initiatives, promote reuse of enterprise capabilities, and reduce duplication.
• Implement monitoring, observability, and alerting to support the reliability, performance, and continuous improvement of AI-supporting data platforms.
• Provide technical leadership and mentorship while advancing engineering best practices and innovation across the organization.
• Evaluate emerging AI technologies, including vector database platforms, retrieval frameworks, and engineering approaches to expand organizational AI capabilities.

Requirements

• 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 (RAG) architectures
• Experience with CI/CD pipelines, orchestration platforms, infrastructure automation, and observability tooling

Technologies

• Python
• SQL
• Azure
• AWS
• Google Cloud
• Vector databases
• Embedding pipelines
• Retrieval-Augmented Generation (RAG)
• CI/CD pipelines
• Orchestration platforms
• 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 in complex enterprise environments that involve security, infrastructure, technology dependencies, governance requirements, and competing priorities
• Extensive experience designing data pipelines for 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

Location and Work Arrangement

• Location: Washington, DC (hybrid)
• Work authorization: Hybrid work authorized (minimum 2-3 days onsite)
• Work location(s): Washington, DC or Reston, VA

Compensation

Pay range: USD 242,000 - 305,000 per year

Education and Experience

• Minimum experience: 20 years
• Education: Bachelor’s degree may be substituted for 4 years of experience, or a Master’s Degree may be substituted for 6 years of experience

Benefits

• Generous company match to your 401(k)
• Industry-leading tuition assistance program that pays your institution directly
• Fertility, adoption, and surrogacy benefits
• Up to $10,000 gift match when you support your favorite nonprofit organizations

Additional Information

• Contingent upon program award: The position is contingent upon program award.
• Application privacy policy: Review Boeing’s Privacy Policy at https://www.boeing.com/careers/privacy-statement.