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Senior Artificial Intelligence Testing Jobs (NOW HIRING)

Senior Artificial Intelligence Engineer

Baytown, TX · On-site

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

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Senior Artificial Intelligence Testing information

See salary details

$25K

$80.3K

$163.5K

How much do senior artificial intelligence testing jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior artificial intelligence testing in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a senior artificial intelligence testing professional?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

What skills and qualifications are needed to thrive as a senior artificial intelligence testing professional?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What are common challenges faced by senior artificial intelligence testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

How do I become a senior artificial intelligence testing?

To become a senior artificial intelligence testing professional, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and testing. Proficiency in programming languages like Python, knowledge of AI frameworks, and familiarity with testing tools are essential, often complemented by advanced degrees or certifications in AI or software testing. Progression usually involves gaining experience in AI projects, demonstrating leadership skills, and staying updated with emerging AI technologies and testing methodologies.

Is senior artificial intelligence testing a good career?

Senior artificial intelligence testing is a specialized role that involves evaluating AI systems for accuracy, reliability, and safety, often requiring skills in programming, data analysis, and understanding of machine learning models. It is a growing field with increasing demand as AI technologies expand across industries, offering opportunities for career advancement and specialization. The role typically requires experience, technical certifications, and knowledge of testing tools and frameworks.
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What cities are hiring for Senior Artificial Intelligence Testing jobs?

Cities with the most Senior Artificial Intelligence Testing job openings:

What are the most commonly searched types of Artificial Intelligence Testing jobs?

The most popular types of Artificial Intelligence Testing jobs are:

What states have the most Senior Artificial Intelligence Testing jobs?

States with the most job openings for Senior Artificial Intelligence Testing jobs include:

Infographic showing various Senior Artificial Intelligence Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Artificial Intelligence Governance Architect

Boeing

North Charleston, SC

$94K - $120K/yr

Full-time

Medical, Life, Retirement

Posted 3 days ago

New


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 613 frontline employees who took The Breakroom Quiz

32nd of 542 rated manufacturers


Job description

Senior Artificial Intelligence Governance Architect

Company:

The Boeing Company

The Boeing Company is currently seeking a Senior Artificial Intelligence Governance Architect to join the team in Seattle, WA; Mesa, AZ; Seal Beach, CA; Arlington, VA; Miami, FL; or North Charleston, SC.

We are seeking an Artificial Intelligence (AI) Governance Architect with a systems engineering or operational background to help architect and operate our Enterprise AI Governance program. This role is particularly well suited for someone who has built complex programs from the ground up and someone who understands how to define requirements, establish processes, coordinate across large organizations, and create repeatable, scalable frameworks.

Position Responsibilities:

  • Lead the design and operationalization of artificial intelligence (AI) governance program infrastructure including intake processes, use case review workflows, risk tiering criteria, escalation paths, and approval frameworks

  • Develop and release enterprise artificial intelligence (AI) policies, standards, and guidelines for responsible artificial intelligence (AI) use across all business units, ensuring they are practical, enforceable, and grounded in technical reality

  • Conduct and coordinate artificial intelligence (AI) risk assessments across use cases and technologies, identifying risks, defining mitigation strategies, and tracking compliance actions through closure

  • Evaluate artificial intelligence (AI) capabilities and vendor-supplied models, including generative artificial intelligence (AI) systems, for alignment with responsible artificial intelligence (AI) standards, identifying vulnerabilities and failure modes

  • Monitor applicable legislation and regulatory guidance, including National Institute of Standards and Technology Artificial Intelligence Risk Management Framework (NIST AI RMF), Department of Defense Artificial Intelligence Ethics Principles (DoD AI Ethics Principles), European Union Artificial Intelligence Act (EU AI Act), and United States (U.S.) federal artificial intelligence policy, and develop organizational readiness assessments for new requirements

  • Define documentation standards for artificial intelligence (AI) systems such as model cards, impact assessments, validation records, human oversight requirements, and ensure audit-readiness across the artificial intelligence (AI) portfolio

  • Build and deliver artificial intelligence (AI) governance training and awareness materials for technical and non-technical stakeholders across the enterprise

  • Collaborate with engineering, legal, compliance, cybersecurity, and business partners to integrate governance requirements into artificial intelligence (AI) program delivery processes

  • Contribute to the development of enterprise artificial intelligence (AI) governance metrics, key performance indicators (KPI), and executive reporting on program maturity and risk posture

BasicQualifications (Required Skills/Experience):

  • 5+ years of experience in systems engineering, systems integration, and/or software engineering

  • 5+ years of experience with program management, project management and/or business operations

  • 3+ years of experience in Artificial Intelligence (AI) governance

  • 5+ years of experience in performing risk assessments and risk management

  • 5+ years of experience working in a cross functional environment with all levels in the business from individual contributors to executive leadership

  • 3+ years of experience in design, requirements derivation and/or system architecture development and processes

Preferred Qualifications (Desired Skills/Experience):

  • Bachelor's degree or equivalent work or military experience

  • Current INCOSE systems engineering certification or equivalent professional credential

  • Experience with technical concepts related to AI/ML systems without necessarily being a model developer

  • Experience in aerospace, defense, or national security environments with familiarity with DoD acquisition, program oversight, or compliance processes

  • Experience with AI technologies: machine learning, deep learning, generative AI, and agentic systems at a conceptual and applied level

  • Experience with NIST AI RMF, ISO 42001, DoD AI Ethics Principles, EU AI Act, or equivalent governance frameworks

  • Experience using GRC platforms (ServiceNow, Archer, OneTrust, Credo AI or similar) to manage risk and compliance workflows

  • Experience with AI technology and a track record of staying current on emerging capabilities and their implications for complex organizations

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 $144,500 - $209,300

Language Requirements:

Not Applicable

Education:

Not Applicable

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 requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

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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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