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Generative Ai Project Manager Jobs in Bothell, WA

Apple

Engineering Manager

Seattle, WA

$195K - $338K/yr

If you have a deep understanding of distributed systems, generative AI, a strong engineering ... Preferred Qualifications Track record of leading teams and delivering complex AI projects from ...

Accenture

AI and Data Architect Manager

Seattle, WA · On-site

Provide governance, quality assurance, and best practice guidance across AI project teams related ... Generative AI and/or Agentic AI solutions in production environments * 5+ years of experience ...

Avanade

AI and Data Architect Manager

Seattle, WA · On-site

Provide governance, quality assurance, and best practice guidance across AI project teams related ... Generative AI and/or Agentic AI solutions in production environments * 5+ years of experience ...

Deloitte

Lead Generative AI Data Engineer III

Seattle, WA · On-site

$116K - $153K/yr

Ability to lead projects or workstreams. * Ability to manage and prioritize multiple tasks in a ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · On-site

... AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ... projects • Gather and analyze business and technical requirements to build scalable AI prompt ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Bothell, WA

Generative Ai Project Manager information

See Bothell, WA salary details

$43K

$114.8K

$181.1K

How much do generative ai project manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for generative ai project manager in Bothell, WA is $114,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What job categories do people searching Generative Ai Project Manager jobs in Bothell, WA look for?

The top searched job categories for Generative Ai Project Manager jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Generative Ai Project Manager jobs?

Cities near Bothell, WA with the most Generative Ai Project Manager job openings:

Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Bothell, WA as of September 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $114,787 per year, or $55.2 per hour.

Engineering Manager

Seattle, WA

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

$195K - $338K/yr

Full-time

Medical, Dental, Retirement

Re-posted 21 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As an Engineering Manager on the Applied Machine Learning team, you will lead a team of software engineers building tools and platforms at scale that power Apple's enterprise GenAI efforts. You'll be responsible for the technical execution and delivery of a GenAI platform with distributed compute, storage, ingestion, and inference. You'll be working with a team of software engineers and machine learning engineers to build RAG and Agentic platform components. If you have a deep understanding of distributed systems, generative AI, a strong engineering background, and leadership experience, then this role may be a great one for you! In this role, you will lead and mentor forward-thinking engineers and will own related activities and interactions with teams across Apple. You will work cross-functionally with key internal partners, researchers, product teams, and platform engineers to develop and deliver our products.","responsibilities":"Actively manage the performance of the team reporting to you and take responsibility for driving its outcome.
Build scalable GenAI platforms and applications.
Ensure products meet Apple's standards for performance, reliability, scalability, privacy, and user experience
Guide development of APIs and frameworks for agentic workflows and/or complex multi-step ML systems
Collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams.
Communicate technical details and roadmaps for diverse audiences including engineering partners, product management teams, and executives across Apple.
Preferred Qualifications
Track record of leading teams and delivering complex AI projects from conception to production
Strong communication skills
Understanding of LLM inference and deployment
Understanding of RAG and Agentic systems
Past experience leading a scalable platform team
Minimum Qualifications
10+ years of experience working on distributed systems
6+ years of experience in a management or leadership role
Deep understanding of GenAI fundamentals
Deep understanding of Java, C, C++, or similar programming language
Deep understanding of distributed systems like Flink, Spark, NoSQL, etc.
Bachelor's degree in Computer Science or equivalent.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $195,700 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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