Hiring: Senior AI/ML Data Engineer Company: Boeing Intelligence & Analytics Location: Washington, DC Job Posted Time: 2026-09-17 01:39:10 Employment Type: Contract / Remote Target Skills & Keywords : AWS, Azure, CI/CD, Data Pipeline, GCP, LLM, Large Language Model, MLOps, Machine Learning, Python, RAG, SQL, Systems Engineering About the job Experience: •20 Years of experience in AI/ML, Data, or Software Engineering roles or a highly related field of work with similar scope and responsibilities. Required Skills: •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. 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. •In-depth knowledge of distributed systems, cloud-native architectures, MLOps, and AI platform engineering. •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. •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. Compensation: •$242,000 - $305,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!