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Masters Artificial Intelligence Jobs (NOW HIRING)

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Masters Artificial Intelligence information

What types of projects or problems do professionals with a Master's in Artificial Intelligence typically work on within organizations?

Professionals with a Master's in Artificial Intelligence often work on a wide range of projects, such as developing machine learning models for predictive analytics, designing intelligent automation systems, and improving natural language processing capabilities. They frequently collaborate with data scientists, software engineers, and domain experts to address real-world challenges like fraud detection, personalized recommendations, and process optimization. These roles require both technical expertise and the ability to translate complex data insights into actionable business solutions, providing ample opportunities for innovation and cross-functional teamwork.

What are the key skills and qualifications needed to thrive as a Master’s-level Artificial Intelligence professional, and why are they important?

To thrive in an Artificial Intelligence role at the master's level, you need strong expertise in machine learning, programming (such as Python or R), and a solid foundation in mathematics and statistics, typically supported by an advanced degree in AI, computer science, or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and relevant certifications (such as AWS Certified Machine Learning) are often required. Critical thinking, problem-solving, and effective communication are essential soft skills for turning data-driven insights into actionable solutions. These skills and qualifications are vital for developing innovative AI systems that address complex real-world challenges and drive organizational success.

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

AspectMasters Artificial IntelligenceData Scientist
Required CredentialsMaster's degree in AI, Computer Science, or related fieldMaster's degree in Data Science, Statistics, or related field
Work EnvironmentResearch labs, tech companies, AI development teamsBusiness analytics, data analysis, and modeling teams
Industry UsageAI research, machine learning development, automationData analysis, predictive modeling, business insights

Masters Artificial Intelligence and Data Scientist roles share overlapping skills and educational backgrounds, but AI focuses more on developing intelligent systems and algorithms, while Data Scientists analyze data to generate insights. Both roles are in high demand across tech and industry sectors, often requiring advanced degrees and similar technical skills.

What are Masters in Artificial Intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on the theory, development, and application of AI technologies. Students in these programs learn about machine learning, deep learning, natural language processing, robotics, and data science. The curriculum often combines computer science fundamentals with hands-on projects and research opportunities. Graduates are prepared for roles in industries like technology, healthcare, finance, and research, where AI skills are in high demand.
Infographic showing various Masters Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Senior Artificial Intelligence /Lean Project Management Specialist

Senior Artificial Intelligence /Lean Project Management Specialist

Boeing

Renton, WA

Full-time

Medical, Life, Retirement

Posted 9 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 607 frontline employees who took The Breakroom Quiz

36th 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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