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Senior Artificial Intelligence Testing Jobs (NOW HIRING)

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 ...

Senior Artificial Intelligence Engineer

Palo Alto, CA · On-site

$123K - $169K/yr

Testing, Documentation & Standards: Define rigorous unit, integration, and performance testing methodologies. Maintain comprehensive documentation and enforce best practices for ethical and secure AI ...

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Senior Artificial Intelligence Testing information

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$25K

$80.3K

$163.5K

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

As of Sep 11, 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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Infographic showing various Senior Artificial Intelligence Testing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Artificial Intelligence Program Manager

Dallas, TX • On-site

Boeing
Aviation • 10K+ employees

$114K - $115K/yr

Full-time

Medical, Life, Retirement

Posted 18 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 618 frontline employees who took The Breakroom Quiz


Job description

Senior Artificial Intelligence Program Manager

Company:

The Boeing Company

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

The Senior Artificial Intelligence (AI) Program Manage will lead the execution coordination and operating rhythm for large, cross-functional AI programs supporting the Boeing Global Services (BGS) Supply Chainorganization.

This role is responsible for driving program transparency, managing status reporting, coordinating the execution operating model, supporting agile operations, and helping optimize team and delivery capacity across multiple AI initiatives.

This position will serve as the central coordinator across product managers, delivery teams, business stakeholders, and leadership to bring together program information in a clear, concise, and decision-ready format. The ideal candidate will have strong experience inprogram management, agile operations, executive reporting, capacity optimization, workshop facilitation, AI analytics, technical fluency, and cross-functional coordination, along with the ability to coach product managers and help drive disciplined execution across multiple AI initiatives.

Position Responsibilities:

  • Lead program management activities for large-scaleBGS Supply Chain AI programs, ensuring alignment across business, product, technology, and delivery teams

  • Establish and maintain the program execution operating model, including governance, cadence, decision forums, and escalation paths

  • Manage integrated program plans, milestones, dependencies, risks, issues, and action items across multiple workstreams

  • Own the preparation of status reporting, executive summaries, steering committee materials, and leadership-ready communications

  • Consolidate complex program information into clear, concise, and actionable updates for leadership and stakeholders

  • Support agile operating rhythm across product and delivery teams, including sprint planning support, release coordination, backlog alignment, and operational readiness

  • Coach and support product managers in program execution discipline, stakeholder communication, prioritization, and delivery management

  • Coordinate across multiple teams to ensure program visibility, alignment, and timely issue resolution

  • Track program health, identify blockers, and drive accountability for actions and commitments

  • Lead capacity optimization across AI programs and workstreams by analyzing team availability, delivery demand, skill constraints, and prioritization tradeoffs

  • Support resource planning and capacity forecasting to help leadership balance demand, manage constraints, and make informed prioritization decisions

  • Develop and maintain reporting on team capacity, utilization, delivery throughput, and forecasted delivery risk

  • Support value tracking, Key Performance Indicators (KPI) reporting, and milestone-based progress reporting for AI initiatives

  • Partner with senior leaders to ensure program and capacity information is structured in a way that enables effective decision-making

  • Improve program processes, reporting standards, and operating mechanisms to increase efficiency and execution quality

  • Facilitate cross-functional collaboration and ensure consistent communication across business, product, and technical stakeholders

  • Apply AI and analytics technical knowledge to support informed program discussions, identify dependencies, and translate technical concepts for business and leadership audiences

  • Plan and facilitate workshops with business, product, technical, and delivery stakeholders to drive alignment on priorities, operating model decisions roadmaps, risks, and execution plans

Basic Qualifications (Required Skills/Experience):

  • Bachelor's degree or higher

  • 10+ years of experience with program management, project management, operations, or related disciplines

  • 10+ years of experience with Program Management Best Practices (i.e., Requirements Management, Resource Management, Integrated Planning and Scheduling, Financial Oversight, Earned Value Management (EVM), Program Performance Management, Supplier Integration, RIO (Risk, Issue, Opportunity) Management, Program Communication, Senior Leadership Reviews, etc.)

  • 10+ years of experience leading cross functional, Business Unit or Program teams

  • 10+ years of experience leading both governance and delivery programs/projects in various Program Management Lifecycle (PMLC), transformation and delivery methodologies (Waterfall, Agile, Six Sigma)

  • 10+ years of experience creating risk/issue/opportunity (RIO) metrics, status reporting and executive-level briefings

  • 10+ years of experience do you have in integrated planning, program/schedule management, and/or business integration for complex, multi-stakeholder programs

  • 10+ years of experience managing ambiguity and changing priorities in a fast-paced collaborative environment in support of multiple organizations

  • 5+ years of experience working with Artificial Intelligence (AI)

Preferred Qualifications (Desired Skills/Experience):

  • Experience in a commercial or industrial business environment

  • Experience with agile delivery frameworks, product operating models, or program governance structures

  • Experience coaching product managers, project leads, or workstream leads

  • Experience creating decision-ready executive reporting, capacity dashboards, and portfolio summaries

  • Experience with Jira, Confluence, Smartsheet, MS Project, Power BI, or similar tools

  • Experience in a matrixed organization with business, technology, and leadership stakeholders

  • Experience facilitating complex problem-solving or design workshops

  • Experience with AI/ML delivery lifecycle, analytics operating models, or technical delivery dependencies

  • Experience with capacity planning, workload balancing, or resource optimization

  • Strong communication, facilitation, and organizational skills

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: $168,300 - $227,700

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)

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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