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Senior Artificial Intelligence Architect Jobs (NOW HIRING)

$86 - $155/hr

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Senior Artificial Intelligence Architect information

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$74K

$123.9K

$191.5K

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

As of Sep 5, 2026, the average yearly pay for senior artificial intelligence architect in the United States is $123,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a senior artificial intelligence architect?

A Senior Artificial Intelligence Architect is an experienced professional responsible for designing, developing, and overseeing the implementation of AI solutions within an organization. They work closely with stakeholders to identify business needs, select suitable AI technologies, and ensure projects align with organizational goals. This role often involves leading teams of data scientists and engineers, setting technical direction, and ensuring best practices in AI system design and deployment. They also stay updated on the latest advancements in AI and help organizations adopt innovative solutions.

How does a senior artificial intelligence architect typically collaborate with cross-functional teams during AI solution development?

A Senior Artificial Intelligence Architect frequently works with data scientists, software engineers, product managers, and business stakeholders to design, implement, and deploy AI solutions. They lead technical discussions, translate business requirements into technical specifications, and ensure that AI models are scalable, reliable, and aligned with organizational goals. Collaboration often involves conducting regular meetings, providing technical guidance, and facilitating knowledge sharing across teams to overcome challenges and deliver successful AI projects.

What are the key skills and qualifications needed to thrive as a senior artificial intelligence architect, and why are they important?

To thrive as a Senior Artificial Intelligence Architect, you need advanced knowledge of machine learning, deep learning, data science, and software engineering, typically supported by a degree in computer science or a related field. Expertise in programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and AI/ML certifications are highly valued. Strong leadership, strategic thinking, and communication skills help you translate business needs into technical solutions and lead cross-functional teams. These skills ensure effective design and deployment of scalable AI systems that drive innovation and meet organizational objectives.

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

AspectSenior Artificial Intelligence ArchitectData Scientist
CredentialsBachelor's/Master's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigns AI systems, collaborates with engineering teams, focuses on architectureAnalyzes data, builds models, interprets data insights
Industry UsageUsed in AI system development, enterprise AI solutionsUsed in data analysis, predictive modeling, business insights

The Senior Artificial Intelligence Architect primarily focuses on designing and implementing AI systems and architectures, working closely with engineering teams. In contrast, Data Scientists analyze data and develop models to extract insights. While both roles require strong technical skills and knowledge of ML, the Architect emphasizes system design, whereas Data Scientists focus on data analysis and modeling.

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Infographic showing various Senior Artificial Intelligence Architect job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,935 per year, or $59.6 per hour.

Senior Artificial Intelligence Program Manager

Boeing

Dallas, TX • On-site

$114K - $115K/yr

Full-time

Medical, Life, Retirement

Posted 12 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 616 frontline employees who took The Breakroom Quiz

33rd of 545 rated manufacturers


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

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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