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Artificial Intelligence Testing Jobs in Seattle, WA

... artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design. JOB ...

Applied AI ML Director

Seattle, WA · On-site

$180 - $320/hr

Are you passionate about harnessing the power of artificial intelligence and machine learning to ... Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection ...

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Are you passionate about harnessing the power of artificial intelligence and machine learning to ... Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection ...

Are you passionate about harnessing the power of artificial intelligence and machine learning to ... Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection ...

Applied AI ML Director

Seattle, WA · On-site

$223K - $325K/yr

Are you passionate about harnessing the power of artificial intelligence and machine learning to ... Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection ...

Applies the principles of artificial intelligence, database systems, human/computer interaction ... Develops testing frameworks and tests model quality. * Coordinates with different functional teams ...

Apply usability testing insights and performance analytics to iterate and improve experiences ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lead AI Conversation Designer

Bellevue, WA · On-site +1

$125K - $154K/yr

Apply usability testing insights and performance analytics to iterate and improve experiences ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lead AI Conversation Designer

Bellevue, WA · On-site +1

$125K - $154K/yr

Apply usability testing insights and performance analytics to iterate and improve experiences ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

QE1

Seattle, WA · On-site

$40/hr

Hands-on experience with automated testing for mobile platforms (iOS/Android) * Python scripting ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

QE1

Seattle, WA · On-site

$40/hr

Hands-on experience with automated testing for mobile platforms (iOS/Android) * Python scripting ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Artificial Intelligence Testing information

See Seattle, WA salary details

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How much do artificial intelligence testing jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for artificial intelligence testing in Seattle, WA is $52.89, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $57.98 per hour, depending on experience, location, and employer.

What is an artificial intelligence testing job?

An Artificial Intelligence Testing job involves evaluating and validating AI models, algorithms, and systems to ensure accuracy, reliability, and fairness. Testers design test cases, identify biases, detect errors, and assess model performance under different conditions. They use tools like automation frameworks, data validation techniques, and model debugging to improve AI functionality. The role requires knowledge of machine learning, programming, and testing methodologies to ensure AI systems perform as expected in real-world scenarios.

What are the key skills and qualifications needed to thrive in artificial intelligence testing?

To thrive in Artificial Intelligence Testing, candidates typically need a background in computer science, machine learning concepts, software testing methodologies, and knowledge of programming languages like Python or Java. Familiarity with AI testing frameworks, version control systems, and tools such as TensorFlow, PyTorch, or JUnit is highly valued, along with certifications in software testing or AI. Strong problem-solving ability, attention to detail, and effective communication skills are critical soft skills in this role. These qualifications ensure the tester can rigorously validate AI models, collaborate well with development teams, and maintain high-quality, reliable AI systems.

What are some common challenges faced by professionals in artificial intelligence testing?

Professionals in Artificial Intelligence Testing often encounter unique challenges, such as validating the unpredictable behavior of machine learning models and ensuring algorithmic fairness and accuracy. They must design comprehensive test cases to cover a wide variety of data inputs and potential edge cases, often in complex, rapidly evolving environments. Collaboration with data scientists, developers, and stakeholders is essential to understand model requirements and to interpret test results accurately. Staying up-to-date with advances in both AI and testing technologies is also key, as the field is continually evolving.

How do I become an artificial intelligence tester?

To become an artificial intelligence tester, you typically need a background in computer science, software engineering, or data science, along with knowledge of machine learning and AI concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model behavior are essential. Earning relevant certifications or completing specialized training can also improve job prospects.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Seattle, WA?

The most popular types of Artificial Intelligence Testing jobs in Seattle, WA are:

What are popular job titles related to Artificial Intelligence Testing jobs in Seattle, WA?

For Artificial Intelligence Testing jobs in Seattle, WA, the most frequently searched job titles are:

Infographic showing various Artificial Intelligence Testing job openings in Seattle, WA as of August 2026, with employment types broken down into 8% Internship, 64% Full Time, 15% Part Time, 4% Temporary, and 9% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $110,009 per year, or $52.9 per hour.

Senior Artificial Intelligence (AI) Solutions Architect

Boeing

Seattle, WA • Hybrid

Full-time

Medical, Life, Retirement

Posted 18 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 617 frontline employees who took The Breakroom Quiz

33rd of 546 rated manufacturers


Job description

Senior Artificial Intelligence (AI) Solutions Architect

Company:

The Boeing Company

The Boeing Company is looking for a highly experienced and detail-oriented Senior Artificial Intelligence (AI) Solutions Architect to join the team in Seattle, WA or Dallas, TX.

The Senior Artificial Intelligence (AI) Solution Architect, Boeing Global Services (BGS) Supply Chain will lead the end-to-end technical architecture for AI-enabled solutions across the BGS Supply Chain organization. This role is responsible for designing scalable, secure, and production-ready Artificial Intelligence (AI) solutions that span the full data and technology ecosystem, including on-premises and cloud environments.

This individual will work closely with business leaders, product managers, data engineers, data scientists, platform teams, and enterprise architecture to translate raw data and data products into AI capabilities such as machine learning, generative AI, Agentic AI, deep learning, decision intelligence, and advanced automation. The ideal candidate will bring deep technical expertise in enterprise architecture, data and AI platforms, and supply chain use cases, with the ability to design end-to-end solutions from data ingestion through modeling, ontology, orchestration, and front-end visualization.

Position Responsibilities:

  • Lead the architecture and design of end-to-end AI solutions supporting BGS Supply Chain business needs

  • Define solution architectures that integrateon-prem and cloud-based data, analytics, and AI capabilitiesinto scalable enterprise patterns

  • Translate business requirements into technical designs for AI-enabled supply chain solutions

  • Architect the full solution lifecycle fromraw data and governed data productsthrough data modeling, ontology, AI model development, orchestration, and visualization

  • Design solutions using ML, Generative AI, Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case

  • Partner with supply chain business stakeholders to identify high-value use cases and shape feasible technical solutions

  • Collaborate with data engineers, data scientists, software engineers, platform architects, and product teams to ensure end-to-end solution integrity

  • Define solution patterns for data ingestion, transformation, semantic modeling, ontology design, AI model integration, workflow orchestration, and user experience delivery

  • Ensure solutions are scalable, maintainable, secure, and aligned to Boeing architecture, cyber, governance, and compliance standards

  • Evaluate technical tradeoffs across cloud, hybrid, and on-prem environments and recommend the best-fit architecture for business needs

  • Provide architectural guidance for AI product teams throughout design, build, testing, deployment, monitoring, and enhancement phases

  • Support the creation of reusable frameworks, reference architectures, and patterns for supply chain AI solutions

  • Work with front-end and product teams to ensure insights and AI outputs are delivered through intuitive interfaces, dashboards, copilots, or decision-support tools

  • Help define ontology and semantic layer approaches that improve usability, searchability, interoperability, and AI consumption of supply chain data

  • Participate in technical governance, design reviews, and architecture decision forums

  • Support production readiness, performance tuning, observability, and operational support for deployed AI solutions

  • Stay current on emerging AI technologies and recommend innovations that can improve supply chain performance and business value

Basic Qualifications (Requires Skill/Experience):

  • 10+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, including the ability to integrate AI-driven insights into data architecture and analytics processes

  • 10+ years s of experience with Information Technology architecture including cloud and data architecture in a large-scale, hybrid cloud and on-prem environment

  • 10+ years of experience communicating with technical experts and explaining difficult technical concepts to non-technical business users

  • 10+ years of experience working across organizations and interfacing with key stakeholders, including senior leaders

  • 5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies

  • 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 designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies

Preferred Qualifications (Desired Skills/Experience)

  • Bachelor's degree or higher in computer science, engineering, information systems, data science, or related field

  • Experience architecting AI solutions forsupply chain, logistics, inventory, planning, sourcing, or partsdomains

  • Experience with ML platforms, Machine Leaning Operations (MLOps) Large Language Model (LLM) orchestration, vector databases, retrieval-augmented generation, and model lifecycle management

  • Experience designing semantic layers, ontologies, knowledge graphs, or enterprise data models

  • Experience with Agentic AI, workflow automation, or AI-based decision support solutions

  • Experience with data visualization tools, orchestration platforms, and front-end delivery patterns

  • Experience with enterprise data governance, cataloging, lineage, and security frameworks

  • Experience with event-driven architecture, API-based integration, and scalable cloud-native design

  • Strong understanding of data architecture, APIs, integration patterns, and production engineering concepts

  • Experience supporting industrial, aerospace, or similarly complex operational environments

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 are 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: $184,450 - $249,550

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

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)

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 - Recruitment Fraud Warning

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

Sourced by ZipRecruiter

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the sea bed to outer space, you'll learn and grow, contributing to work that shapes the world. Find your future with us.

Industry

Aviation and aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US