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Generative Ai Project Manager Jobs in Seattle, WA

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 ...

Amazon

Applied Scientist, Sales AI

Seattle, WA · On-site

You are fluently able to leverage the latest generative AI systems and services to accelerate and ... delivering on demanding projects - Run regular A/B experiments, gather data, and perform ...

Amazon

Applied Scientist, Sales AI

Seattle, WA · On-site

You are fluently able to leverage the latest generative AI systems and services to accelerate and ... delivering on demanding projects - Run regular A/B experiments, gather data, and perform ...

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 ...

Avacend, Inc.

AI Product Manager

Bellevue, WA · On-site

AI Product Manager Location: Bellevue, WA (Onsite) AI Product Manager to lead the strategy, roadmap ... Strong understanding of Generative AI, LLMs, RAG architectures, and Agentic AI concepts

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

Generative Ai Project Manager information

See Seattle, WA salary details

$43.8K

$116.9K

$184.4K

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

As of Sep 2, 2026, the average yearly pay for generative ai project manager in Seattle, WA is $116,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $140,000.00 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 are popular job titles related to Generative Ai Project Manager jobs in Seattle, WA?

For Generative Ai Project Manager jobs in Seattle, WA, the most frequently searched job titles are:

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

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

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

Cities near Seattle, 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 Seattle, WA as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $116,855 per year, or $56.2 per hour.

AI-Project Co-ordinator

VKore Solutions LLC

Seattle, WA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

·       4+ years of experience in program management, strategy and operations, design operations, or related cross functional roles

·       Experience developing and implementing standardized operational processes, SOPs, or scalable workflow frameworks

·       Experience leading cross functional initiatives within global or matrixed organizations

·       Experience supporting AI transformation, operational excellence, or organizational change initiatives

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