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Senior Artificial Intelligence Jobs in Bothell, WA

Senior Engineer, AI Data Management

Seattle, WA · On-site

$120K - $163K/yr

ClifyX is a company focused on innovative technology solutions, and they are seeking a Senior ... Required : • Python • Machine Learning • Artificial Intelligence(AI) • NOSQL • DevOps ...

Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial ... senior ICs * Fluency in core Finance processes (AP, AR, GL, revenue recognition, close cycles, FP&A ...

Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial ... senior ICs * Fluency in core Finance processes (AP, AR, GL, revenue recognition, close cycles, FP&A ...

We are the backbone for innovative data science and artificial intelligence developments at Visa acceptance, and we thrive on solving complex challenges on a global scale! As a Senior Data Scientist ...

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Senior Artificial Intelligence information

See Bothell, WA salary details

$27.9K

$89.8K

$182.8K

How much do senior artificial intelligence jobs pay per year?

As of Jul 27, 2026, the average yearly pay for senior artificial intelligence in Bothell, WA is $89,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $115,100.00 per year, depending on experience, location, and employer.

What is the salary of a senior AI engineer?

The salary of a senior AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, deep learning, and proficiency with tools like Python and TensorFlow can influence compensation levels.

What is the difference between Senior Artificial Intelligence vs Data Scientist?

AspectSenior Artificial IntelligenceData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI frameworksDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming and analytics
Work EnvironmentDeveloping AI models, machine learning algorithms, and deploying AI solutionsAnalyzing data, building predictive models, and generating insights from data
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and data analysis expertise, Senior Artificial Intelligence focuses on developing and deploying AI systems, whereas Data Scientists primarily analyze data to inform business decisions. The roles often overlap but differ in their core focus and application.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, lead data scientist, or AI executive, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand for expertise in developing and deploying cutting-edge AI solutions.

What jobs are safe from AI for the next 50 years?

For a Senior Artificial Intelligence role, jobs that require complex problem-solving, creativity, emotional intelligence, and nuanced human interaction are less likely to be fully automated in the near future. These include roles in strategic decision-making, ethical oversight, and specialized consulting, which depend on human judgment and domain expertise. Continuous learning and skills in areas like critical thinking and interpersonal communication will help maintain job security over the coming decades.

What is the highest paying job in artificial intelligence?

The highest paying roles in artificial intelligence are typically AI research directors, machine learning directors, or chief AI officers, often earning six-figure salaries or higher. These positions require advanced expertise in deep learning, natural language processing, and leadership skills, and are common in large tech companies and innovative startups.
What are the most commonly searched types of Artificial Intelligence jobs in Bothell, WA? The most popular types of Artificial Intelligence jobs in Bothell, WA are:
What are popular job titles related to Senior Artificial Intelligence jobs in Bothell, WA? For Senior Artificial Intelligence jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Senior Artificial Intelligence jobs in Bothell, WA look for? The top searched job categories for Senior Artificial Intelligence jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Senior Artificial Intelligence jobs? Cities near Bothell, WA with the most Senior Artificial Intelligence job openings:
Senior Artificial Intelligence /Lean Project Management Specialist

Senior Artificial Intelligence /Lean Project Management Specialist

Boeing

Seattle, WA • On-site

Full-time

Medical, Life, Retirement

Posted 13 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 609 frontline employees who took The Breakroom Quiz

35th of 535 rated manufacturers


Job description

Senior Artificial Intelligence /Lean Project Management Specialist

Company:

The Boeing Company

Boeing's Global Real Estate and Facilities (GREF) organization is currently seeking a Senior Artificial Intelligence (AI)/Lean Project Management Specialist to join our Value Stream Integration-Program Management Office (PMO) team in any of the following locations Everett; Renton; or Seattle, WA.

This role will manage projects that include Artificial Intelligence/Machine Learning (AI/ML) model delivery, data platform deployments, automation and process optimization, organizational change for AI adoption, vendor/partner engagements, and governance across asset-intensive environments.

Position Responsibilities:

  • Leads AI strategy, workflow integration, and adoption technology within GREF, advising leaders on how AI and existing enterprise tools can be leveraged to improve business outcomes and operational effectiveness
  • Ensures GREF initiatives align with Enterprise Services and Boeing's broader AI strategy, governance, and adoption objectives while identifying scalable opportunities to optimize workflows and ways of working
  • Drives continuous process improvement and captures lessons learned specific to AI initiatives
  • Leads all phases of highly complex AI and data programs from initiation through closeout, directing cross-functional teams across multiple organizations and geographies
  • Coordinates data governance, model validation, testing, and compliance activities to ensure regulatory, security, and ethical AI requirements are met, while providing program governance including status briefings, executive reports, decision logs, model/version change control, and escalation
  • Develops, maintains, integrates and analyzes program-level plans and schedules in accordance with Boeing Project Management Best Practices (PMBP) practices and AI delivery best practices
  • Designs and executes integration strategies for plans, schedules, model lifecycle management, change control and baseline management across the program lifecycle
  • Serves as primary project/program contact to establish stakeholder requirements for AI solutions (data, performance, explainability, security), define scope, and align objectives across internal and external stakeholders; obtain approvals and authorize resource commitments
  • Identifies Risks, Issues and Opportunities (RIO) specific to AI projects (data quality, model drift, explainability, vendor risk); performs high-level studies/analyses (trend, variance, impact); refines business cases; develops and implements mitigation and contingency plans
  • Prepares white papers and executive presentations to communicate program status, metrics, model performance and recommendations
  • Ensures project control systems are in place and integrate data for decision makers (schedules, cost/scope tracking, model performance metrics, and reporting)
  • Consults on and recommends best practice tools, processes and techniques for integrated planning, Machine Learning Operations (MLOps), model lifecycle management, and baseline/change management
  • Coordinates contractual and strategic commitments with internal and external partners (cloud providers, AI vendors, system integrators) to meet program objectives
  • Leads, mentors and influences others (formally or informally)
  • Provides strategic consulting and implementation guidance to help leaders evaluate, prioritize, and responsibly integrate AI-enabled solutions that drive measurable value

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

Basic Qualifications (Required Skills/Experience):

  • Bachelor's degree or higher
  • 5+ years of experience developing and supporting project plans through the full project life cycle
  • 5+ years of experience in the implementation and use of Project Management Best Practices (PMBP) along with processes and methods
  • 5+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance
  • 5+ years of experience with RIO (Risks, Issues and Opportunities) processes and tools
  • 5+ years of experience leading cross-functional teams and working with senior leadership
  • 5+ years of experience presenting and communicating data in senior leadership briefings
  • 5+ years of experience working with Microsoft Office including Outlook, Excel, Word, PowerPoint, SharePoint, and Teams
  • 5+ years of experience using Microsoft Project

Preferred Qualifications (Desired Skills/Experience):

  • MBA or equivalent advanced degree
  • Project Management Professional (PMP) or equivalent certification
  • Experience with AI/ML concepts, MLOps, data engineering, model validation, and monitoring
  • Experience in real estate, facilities, asset-intensive or regulated environments
  • Experience with global programs and ability to lead initiatives across geographic locations
  • Experience in influencing and leading senior leaders at the executive level
  • Experience with Lean, Agile, DevOps or continuous improvement methodologies
  • Experience with cloud platforms (Azure, AWS, GCP), data governance frameworks, and AI ethical principles

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

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: $126,650 - $171,350

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

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.

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 Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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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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