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AI Operations Analyst

Boeing

Software and Technology Jobs

AI Operations Analyst

full-timePosted: Dec 12, 2025

Job Description

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.

Boing Global Services Training Solutions is seeking an AI Operations Analyst in Seattle, WA.  This is an onsite position.

The AI Operations Analyst identifies, validates, pilots, and operationalizes AI use cases across CTS to improve customer and employee experience, efficiency, and add new product features. This role combines business analysis, data fluency, AI/ML literacy, and program execution to move high-value opportunities from idea to production while ensuring measurable impact, governance, and cross-functional adoption.

Position Responsibilities:

  • Discover and prioritize AI use cases
    • Conduct stakeholder interviews, process mapping, and data discovery across CTS teams to surface pain points and opportunity areas.
    • Evaluate and rank use cases by expected impact, feasibility, data readiness, and alignment with strategic goals.
  • Validate and prototype
    • Define success criteria, KPIs, and minimal viable experiments for candidate use cases.
    • Partner with data scientists, engineers, and product managers to run experiments, build prototypes or proof-of-concepts, and measure results.
  • Operationalize AI solutions
    • Translate prototypes into production-ready solutions in collaboration with engineering, MLOps, and IT.
    • Define monitoring, model performance metrics, retraining cadence, and incident response for deployed models.
  • Cross-functional enablement and change management
    • Drive adoption by creating user workflows, documentation, training, and decision guides for business users.
    • Communicate outcomes, ROI, and lessons learned to leadership and stakeholders.
  • Governance, compliance, and risk management
    • Ensure AI projects follow internal policies for privacy, security, and responsible AI; incorporate bias testing and explainability checks into pipelines.
    • Maintain artifact libraries (requirements, data lineage, model cards) for auditability.
  • Continuous improvement
    • Track model and business metrics post-deployment and run improvement cycles.
    • Surface new opportunities from operational telemetry and user feedback.

Basic Qualifications (Required Skills/Experience):

  • Bachelor’s degree in computer science, Engineering, Data Science, Business, or related field.
  • 5+ years in data science/AI roles with at least 2 years in strategy, product, or transformation roles; proven track record delivering AI projects to production with measurable business impact.
  • AI/ML understanding: working knowledge of model types, training/evaluation concepts, and common pitfalls (overfitting, bias, data leakage)
  • Experience with cloud platforms (AWS, Azure, GCP), model-serving frameworks, and data platforms.
  • Business analysis and stakeholder management: ability to map processes, quantify pain, and align technical effort with business value
  • Data literacy: experience with data exploration, dataset assessment, and familiarity with SQL and basic statistics
  • Measurement & experimentation: ability to design A/B tests, define KPIs, and interpret experiment results

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.

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:  124,950 – 169,050


Applications for this position will be accepted until Jan. 02, 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.

Locations

  • Seattle, Washington, United States

Salary

124,950 - 169,050 USD / yearly

Skills Required

  • AI/ML (model types, training/evaluation, overfitting, bias, data leakage)intermediate
  • Cloud platforms (AWS, Azure, GCP)intermediate
  • Model-serving frameworksintermediate
  • Data platformsintermediate
  • Business analysisintermediate
  • Stakeholder managementintermediate
  • Process mappingintermediate
  • Data explorationintermediate
  • Dataset assessmentintermediate
  • SQLintermediate
  • Basic statisticsintermediate
  • A/B testsintermediate
  • KPIsintermediate
  • Experiment results interpretationintermediate

Required Qualifications

  • Bachelor’s degree in computer science, Engineering, Data Science, Business, or related field (experience)
  • 5+ years in data science/AI roles with at least 2 years in strategy, product, or transformation roles; proven track record delivering AI projects to production with measurable business impact (experience)
  • AI/ML understanding: working knowledge of model types, training/evaluation concepts, and common pitfalls (overfitting, bias, data leakage) (experience)
  • Experience with cloud platforms (AWS, Azure, GCP), model-serving frameworks, and data platforms (experience)
  • Business analysis and stakeholder management: ability to map processes, quantify pain, and align technical effort with business value (experience)
  • Data literacy: experience with data exploration, dataset assessment, and familiarity with SQL and basic statistics (experience)
  • Measurement & experimentation: ability to design A/B tests, define KPIs, and interpret experiment results (experience)

Preferred Qualifications

  • Hands-on experience with prototyping tools (Python, Jupyter, or low-code ML platforms) (experience)
  • Familiarity with MLOps frameworks and production monitoring (e.g., MLflow, Seldon, Airflow, Prometheus) (experience)
  • Hands-on experience integrating LLMs, embeddings, vector databases, or building RAG solutions (experience)
  • Track record of partnering with commercial teams and supporting product launches and adoption (experience)

Responsibilities

  • Discover and prioritize AI use cases
  • Conduct stakeholder interviews, process mapping, and data discovery across CTS teams to surface pain points and opportunity areas
  • Evaluate and rank use cases by expected impact, feasibility, data readiness, and alignment with strategic goals
  • Validate and prototype: Define success criteria, KPIs, and minimal viable experiments for candidate use cases
  • Partner with data scientists, engineers, and product managers to run experiments, build prototypes or proof-of-concepts, and measure results
  • Operationalize AI solutions: Translate prototypes into production-ready solutions in collaboration with engineering, MLOps, and IT
  • Define monitoring, model performance metrics, retraining cadence, and incident response for deployed models
  • Cross-functional enablement and change management: Drive adoption by creating user workflows, documentation, training, and decision guides for business users
  • Communicate outcomes, ROI, and lessons learned to leadership and stakeholders
  • Governance, compliance, and risk management: Ensure AI projects follow internal policies for privacy, security, and responsible AI; incorporate bias testing and explainability checks into pipelines
  • Maintain artifact libraries (requirements, data lineage, model cards) for auditability
  • Continuous improvement: Track model and business metrics post-deployment and run improvement cycles
  • Surface new opportunities from operational telemetry and user feedback

Benefits

  • general: competitive base pay and variable compensation opportunities
  • general: health insurance
  • general: flexible spending accounts
  • general: health savings accounts
  • general: retirement savings plans
  • general: life and disability insurance programs
  • general: paid and unpaid time away from work

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Boeing logo

AI Operations Analyst

Boeing

Software and Technology Jobs

AI Operations Analyst

full-timePosted: Dec 12, 2025

Job Description

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.

Boing Global Services Training Solutions is seeking an AI Operations Analyst in Seattle, WA.  This is an onsite position.

The AI Operations Analyst identifies, validates, pilots, and operationalizes AI use cases across CTS to improve customer and employee experience, efficiency, and add new product features. This role combines business analysis, data fluency, AI/ML literacy, and program execution to move high-value opportunities from idea to production while ensuring measurable impact, governance, and cross-functional adoption.

Position Responsibilities:

  • Discover and prioritize AI use cases
    • Conduct stakeholder interviews, process mapping, and data discovery across CTS teams to surface pain points and opportunity areas.
    • Evaluate and rank use cases by expected impact, feasibility, data readiness, and alignment with strategic goals.
  • Validate and prototype
    • Define success criteria, KPIs, and minimal viable experiments for candidate use cases.
    • Partner with data scientists, engineers, and product managers to run experiments, build prototypes or proof-of-concepts, and measure results.
  • Operationalize AI solutions
    • Translate prototypes into production-ready solutions in collaboration with engineering, MLOps, and IT.
    • Define monitoring, model performance metrics, retraining cadence, and incident response for deployed models.
  • Cross-functional enablement and change management
    • Drive adoption by creating user workflows, documentation, training, and decision guides for business users.
    • Communicate outcomes, ROI, and lessons learned to leadership and stakeholders.
  • Governance, compliance, and risk management
    • Ensure AI projects follow internal policies for privacy, security, and responsible AI; incorporate bias testing and explainability checks into pipelines.
    • Maintain artifact libraries (requirements, data lineage, model cards) for auditability.
  • Continuous improvement
    • Track model and business metrics post-deployment and run improvement cycles.
    • Surface new opportunities from operational telemetry and user feedback.

Basic Qualifications (Required Skills/Experience):

  • Bachelor’s degree in computer science, Engineering, Data Science, Business, or related field.
  • 5+ years in data science/AI roles with at least 2 years in strategy, product, or transformation roles; proven track record delivering AI projects to production with measurable business impact.
  • AI/ML understanding: working knowledge of model types, training/evaluation concepts, and common pitfalls (overfitting, bias, data leakage)
  • Experience with cloud platforms (AWS, Azure, GCP), model-serving frameworks, and data platforms.
  • Business analysis and stakeholder management: ability to map processes, quantify pain, and align technical effort with business value
  • Data literacy: experience with data exploration, dataset assessment, and familiarity with SQL and basic statistics
  • Measurement & experimentation: ability to design A/B tests, define KPIs, and interpret experiment results

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.

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:  124,950 – 169,050


Applications for this position will be accepted until Jan. 02, 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.

Locations

  • Seattle, Washington, United States

Salary

124,950 - 169,050 USD / yearly

Skills Required

  • AI/ML (model types, training/evaluation, overfitting, bias, data leakage)intermediate
  • Cloud platforms (AWS, Azure, GCP)intermediate
  • Model-serving frameworksintermediate
  • Data platformsintermediate
  • Business analysisintermediate
  • Stakeholder managementintermediate
  • Process mappingintermediate
  • Data explorationintermediate
  • Dataset assessmentintermediate
  • SQLintermediate
  • Basic statisticsintermediate
  • A/B testsintermediate
  • KPIsintermediate
  • Experiment results interpretationintermediate

Required Qualifications

  • Bachelor’s degree in computer science, Engineering, Data Science, Business, or related field (experience)
  • 5+ years in data science/AI roles with at least 2 years in strategy, product, or transformation roles; proven track record delivering AI projects to production with measurable business impact (experience)
  • AI/ML understanding: working knowledge of model types, training/evaluation concepts, and common pitfalls (overfitting, bias, data leakage) (experience)
  • Experience with cloud platforms (AWS, Azure, GCP), model-serving frameworks, and data platforms (experience)
  • Business analysis and stakeholder management: ability to map processes, quantify pain, and align technical effort with business value (experience)
  • Data literacy: experience with data exploration, dataset assessment, and familiarity with SQL and basic statistics (experience)
  • Measurement & experimentation: ability to design A/B tests, define KPIs, and interpret experiment results (experience)

Preferred Qualifications

  • Hands-on experience with prototyping tools (Python, Jupyter, or low-code ML platforms) (experience)
  • Familiarity with MLOps frameworks and production monitoring (e.g., MLflow, Seldon, Airflow, Prometheus) (experience)
  • Hands-on experience integrating LLMs, embeddings, vector databases, or building RAG solutions (experience)
  • Track record of partnering with commercial teams and supporting product launches and adoption (experience)

Responsibilities

  • Discover and prioritize AI use cases
  • Conduct stakeholder interviews, process mapping, and data discovery across CTS teams to surface pain points and opportunity areas
  • Evaluate and rank use cases by expected impact, feasibility, data readiness, and alignment with strategic goals
  • Validate and prototype: Define success criteria, KPIs, and minimal viable experiments for candidate use cases
  • Partner with data scientists, engineers, and product managers to run experiments, build prototypes or proof-of-concepts, and measure results
  • Operationalize AI solutions: Translate prototypes into production-ready solutions in collaboration with engineering, MLOps, and IT
  • Define monitoring, model performance metrics, retraining cadence, and incident response for deployed models
  • Cross-functional enablement and change management: Drive adoption by creating user workflows, documentation, training, and decision guides for business users
  • Communicate outcomes, ROI, and lessons learned to leadership and stakeholders
  • Governance, compliance, and risk management: Ensure AI projects follow internal policies for privacy, security, and responsible AI; incorporate bias testing and explainability checks into pipelines
  • Maintain artifact libraries (requirements, data lineage, model cards) for auditability
  • Continuous improvement: Track model and business metrics post-deployment and run improvement cycles
  • Surface new opportunities from operational telemetry and user feedback

Benefits

  • general: competitive base pay and variable compensation opportunities
  • general: health insurance
  • general: flexible spending accounts
  • general: health savings accounts
  • general: retirement savings plans
  • general: life and disability insurance programs
  • general: paid and unpaid time away from work

Target Your Resume for "AI Operations Analyst" , Boeing

Get personalized recommendations to optimize your resume specifically for AI Operations Analyst. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI Operations Analyst" , Boeing

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AerospaceDefenseManufacturingBGS

Answer 10 quick questions to check your fit for AI Operations Analyst @ Boeing.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.