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AI Operations Analyst

Boeing

AI Operations Analyst

Boeing

seattle

·

On-site

·

Full-time

·

2w ago

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.

Boeing Global Services (BGS) Training Solutions is seeking an AI Operations Analyst in Seattle, WA.  This is an onsite position.

In this role, you’ll identify and prioritize AI opportunities across Commercial Training Solutions (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, WA where your technical judgment, business sense, and execution skills will create visible, measurable value.

Our teams are currently hiring for a broad range of experience levels including Experienced or Senior AI Operations Analysts.

Position Responsibilities:

  • Identify and prioritize AI use cases by conducting stakeholder interviews, process mapping, and data discovery across CTS teams.

  • Assess and rank use cases based on expected impact, feasibility, data readiness, and alignment with strategic objectives.

  • Define success criteria, KPIs, and minimal viable experiments for candidate use cases.

  • Partner with data scientists, engineers, and product managers to design and run experiments, and build prototypes or proofs-of-concept.

  • Translate prototypes into production-ready solutions in collaboration with engineering, MLOps, and IT teams.

  • Establish monitoring, model performance metrics, and retraining/incident procedures for deployed models.

  • Create user-facing documentation, training, and adoption materials; report outcomes and ROI to stakeholders.

  • Ensure compliance with privacy, security, and responsible AI practices, and maintain essential audit artifacts.

Basic Qualifications (Required Skills/Experience):

  • Bachelor’s degree in Computer science, Data Science, Statistics, Engineering, or related field;

  • 5+ years of experience with AI/ML technologies, frameworks, models and ensembles

  • Experience tracking and prioritizing use cases into technical requirements and vice versa

  • Deep understanding of ML fundamentals, model evaluation, feature engineering, and production monitoring/retraining strategies

  • Solid knowledge of responsible AI, privacy, security, bias mitigation, and model explainability practices; experience implementing governance controls

  • Excellent communication and stakeholder management skills, including presenting ROI and technical decisions to senior leadership

Preferred Qualifications (Desired Skills/Experience):

  • Hands-on experience with prototyping tools (Python, Jupyter, or low-code ML platforms)

  • Familiarity with MLOps frameworks and production monitoring (e.g., MLflow, Seldon, Airflow, Prometheus)

  • Hands-on experience integrating LLMs, embeddings, vector databases, or building RAG solutions

  • Track record of partnering with commercial teams and supporting product launches and adoption

  • 10+ years of related work experience or an equivalent combination of education and experience

  • Advanced degree preferred

Drug Free Workplace:

Boeing is a Drug Free Workplace 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 & 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 Level 4 (Senior): $138,550 - $187,450

Summary pay range Level 5 (Senior): $173,400 - $234,600


Applications for this position will be accepted until Feb. 25, 2026


Export Control Requirements:

This position 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.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift


Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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About Boeing

Boeing

Boeing

Public

The Canadian arm of the US aircraft manufacturer Boeing

10,001+

Employees

Winnipeg

Headquarters

Reviews

3.4

21 reviews

Work Life Balance

2.2

Compensation

3.5

Culture

2.0

Career

2.1

Management

1.8

25%

Recommend to a Friend

Pros

Good pay and benefits

Job stability compared to other tech companies

Engineers working to improve processes

Cons

Poor management and leadership quality

Terrible work-life balance and high stress

Lack of career advancement opportunities

Salary Ranges

27 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L2 · Chief of Staff L2

0 reports

$148,288

total / year

Base

$59,315

Stock

$74,144

Bonus

$14,829

$103,802

$192,774

Interview Experience

2 interviews

Difficulty

2.5

/ 5

Duration

14-28 weeks

Offer Rate

100%

Experience

Positive 50%

Neutral 50%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer Negotiation

Common Questions

Behavioral/STAR

Product Strategy

Technical Knowledge

Past Experience

Culture Fit