Senior AI/ML Data Engineer

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 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. Key Responsibilities 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 Required Education and Years of 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. 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 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. Application Privacy Policy This notice pertains to the collection and processing of personal information of applicants to The Boeing Company and its group of companies (“Boeing”), worldwide. To review Boeing’s Privacy Policy, copy and paste this link into a new tab and follow the URL: Equal Opportunity Employer BI&A is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race,color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Equal Employment Opportunity is the Law (PDF) Equal Opportunity Employer We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. #J-18808-Ljbffr