Experienced Data Scientist-Applied Artificial Intelligence DeveloperCompany:The Boeing CompanyThe Boeing Company is currently seeking an Experienced Data Scientist-Applied Artificial Intelligence (AI) Developer to join the Finance Systems and Analytics (FS&amp;A) team in Tukwila, WA. The candidate selected for this role will design and implement AI-enabled analytics solutions for Finance. You will deliver prescriptive and predictive analytics and help develop advanced capabilities such as agentic AI workflow automation. In this position you will design and build networks of interdependent autonomous agents that perform agent to agent reasoning, integrate with internal programmatic interfaces, streamline finance workflows, support human in the loop decision making, and optimize transactional processes.The ideal candidate will:<ul><li>Have 2+ years of hands‑on experience applying AI/Machine Learning (ML) to business problems, including production or near‑production deployments of Large Language Models (LLMs)-enabled systems, Retrieval-Augmented Generation (RAG) pipelines, or multi-agent workflows</li><li>Design, build, and operate agentic AI workflows or orchestrated agent networks that perform agent-to-agent reasoning and integrate with programmatic finance interfaces</li><li>Possess domain knowledge in Finance (e.g., accounting, treasury, reconciliation, payments, Financial Planning and Analysis (FP&amp;A)) or equivalent business-facing experience to partner effectively with Finance Subject Matter Experts (SMEs)</li><li>Communicate complex technical risks and results clearly to non-technical stakeholders and leadership</li><li>Work effectively in collaborative engineering environments using modern practices (code reviews, feature branches, cross-functional coordination, agile practices, cross-functional coordination, agile delivery)</li><li>Be familiar with model governance, auditability, and regulatory controls relevant to financial models (e.g., model risk frameworks, SOX)</li><li>Have practical experience with cloud platforms (Amazon Web Services (AWS)/Google Cloud Platform (GCP)/Azure), containerization (Docker/Kubernetes), and MLOps tooling (Continuous Integration and Continuous Delivery (CI/CD), monitoring, feature stores)</li><li>Understand security, privacy, and data protection best practices for sensitive financial data</li><li>Have hands‑on experience with vector databases, retrieval‑augmented generation, prompt/context engineering, and LLM safety/mitigation strategies</li></ul>Position Responsibilities:<ul><li>Design, prototype, and productionize AI solutions for finance outcomes (e.g., reconciliation, forecasting, anomaly detection, decision support), including RAG systems and multi-agent orchestration</li><li>Own the full model lifecycle: source and validate finance data, build features, train and evaluate models/agents, and implement CI/CD pipelines for repeatable deployments and rollbacks</li><li>Implement and maintain agent orchestration, state management, and inter‑agent reasoning; optimize for latency, cost, and reliability when integrating with finance Application Programming Interfaces (API) and transactional systems</li><li>Implement human‑in‑the‑loop controls, escalation logic, and audit trails to ensure explainability, auditability, and compliance with internal controls and regulations</li><li>Design and operate monitoring and observability for models and agents (performance metrics, drift detection, logging, alerting); lead incident response and retraining strategies</li><li>Perform exploratory and multivariate analysis to discover patterns, validate assumptions, and translate findings into clear business recommendations</li><li>Collaborate closely with Finance SMEs, Data Engineering, Security, and Compliance to ensure solutions meet business needs, scalability, and governance standards</li></ul>Basic Qualifications (Required Skills/Experience):<ul><li>Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience</li><li>3+ years of hands‑on experience in data analytics, statistical analysis, or applied machine learning on business/finance problems</li><li>Experience in Python or R for data analysis, model development, and scripting</li><li>Experience with SQL skills and experience querying relational databases (e.g., SQL Server, Oracle, Teradata) or cloud data warehouses</li><li>Experience with statistical methods, risk analysis, and applying these techniques to complex financial assessments</li><li>Experience demonstrating problem‑solving skills and the ability to translate business challenges into data‑driven solutions</li><li>Experience with version control (Git) and basic collaborative coding practices (code reviews, branching)</li></ul>Preferred Qualifications (Desired Skills/Experience):<ul><li>Master’s degree in Data Science, Computer Science, Statistics, or a related technical field, or equivalent advanced experience</li><li>Experience deploying ML/AI solutions to production, including MLOps practices (CI/CD for models, monitoring, retraining)</li><li>Experience with LLMs, RAG pipelines, or agentic/multi‑agent workflows and vector databases</li><li>Experience with cloud platforms and services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li><li>Experience with security, data privacy, and model governance relevant to financial systems (auditability, documentation, compliance)</li><li>Experience with code documentation and repository practices using GitLab/GitHub and Markdown</li></ul>Drug Free Workplace:Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Pay &amp; Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations.Summary pay range: $121,550 – $164,450Language Requirements:Not ApplicableEducation:Bachelors Degree or EquivalentRelocation:Relocation assistance is not a negotiable benefit for this position.Export Control Requirement:This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Safety Sensitive:This is not a Safety Sensitive Position.Security Clearance:This position does not require a Security Clearance.Visa Sponsorship:Employer will not sponsor applicants for employment visa status.Contingent Upon Award ProgramThis position is not contingent upon program awardShift:Shift 1 (United States of America)Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - <a href="http://www.boeing.com/careers/recruitment-fraud-warning.page" target="_blank">Recruitment Fraud Warning</a><div><div><div><div>Boeing is an Equal Opportunity Employer. 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