Senior AI Analyst

Boeing•Seattle, WA

3d•Onsite

About The Position

Boeing Global Services Training Solutions is seeking a Senior AI Analyst in Seattle, WA. This is an onsite position. In this role, you’ll identify and prioritize AI opportunities across CTS, lead experiments and prototypes, and partner with engineering, product, and business teams to move solutions into production. You’ll directly improve customer and internal user experiences, unlock efficiency gains, and help deliver new product features; all while establishing governance, measuring ROI, and accelerating adoption across the organization. Join a collaborative team in Seattle where your technical judgment, business sense, and execution skills will create visible, measurable value.

Requirements

5+ years experience in AI/ML, analytics, digital transformation and/or data proficiency, or related fields supporting applied AI initiatives
5+ years experience identifying use cases, defining KPIs and demonstrating business impact
Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field
Must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Nice To Haves

Hands‑on with Python, Jupyter, or low‑code ML platforms
Experience with MLOps tools or collaborating closely with MLOps/engineering teams
Experience with LLMs, embeddings, vector DBs, or RAG solutions is a plus
Strong communication and stakeholder management skills
Familiarity with responsible AI practices and basic model evaluation concepts
Advanced degree preferred

Responsibilities

Conduct stakeholder interviews, process mapping, and data discovery to identify AI use cases.
Assess and prioritize use cases based on impact, feasibility, and data readiness.
Define success criteria, KPIs, and minimal viable experiments for candidate use cases.
Build prototypes or proofs‑of‑concept with data scientists and engineers.
Support engineering and MLOps teams to prepare prototypes for production transition.
Produce user‑facing documentation, training, and adoption materials; report outcomes and ROI to stakeholders.
Ensure privacy, security, and responsible AI considerations are included in project plans.