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Generative Ai Project Manager Jobs in Seattle, WA

Enterprise AI Engineer I

Seattle, WA · On-site

$100K - $115K/yr

... project management skills, with the ability to prioritize tasks and deliver projects within ... Proficient in Generative AI * Ability to understand commercial real estate terms and standards ...

... project management skills, with the ability to prioritize tasks and deliver projects within ... Proficient in Generative AI * Ability to understand commercial real estate terms and standards

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

Leading the development and implementation of AI-driven solutions, managing the entire AI project ... Staying updated on the latest advancements in AI and Generative AI, and advising teams on ...

Senior AI Engineer

Seattle, WA · On-site

$140K - $180K/yr

Leading the development and implementation of AI-driven solutions, managing the entire AI project ... Staying updated on the latest advancements in AI and Generative AI, and advising teams on ...

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 ...

eDiscovery Project Manager

Seattle, WA · On-site +1

$108K - $164K/yr

Demonstrates expertise in legal practice technologies, including Generative AI, with exceptional project and matter management skills, attention to detail, and the ability to thrive under tight ...

eDiscovery Project Manager

Seattle, WA · On-site

$108K - $164K/yr

Demonstrates expertise in legal practice technologies, including Generative AI, with exceptional project and matter management skills, attention to detail, and the ability to thrive under tight ...

Showing results 21-40

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 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:

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.

Enterprise AI Engineer I

Kidder Mathews

Seattle, WA • On-site

$100K - $115K/yr

Full-time

Posted 14 days ago


Job description

job Summary: (Overall purpose and objective of the job)
The Enterprise AI Engineer is responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance business processes. This role involves collaborating with cross-functional teams to identify opportunities, design AI models, analyze data, and deploy AI solutions. The Enterprise AI Engineer will play a pivotal role in shaping the organization's AI strategy, contributing to its growth, and ensuring the highest levels of accuracy and performance of AI systems
Essential Functions: (The reason this job exists is to perform these functions. These functions are performed regularly, seriously impacts other jobs, and there are a limited number of employees to whom performance of the function can be distributed).
1. Develop and implement AI models and algorithms to solve complex business problems
2. Collaborate with stakeholders to identify and define AI project objectives, requirements, and success criteria
3. Collect, preprocess, and analyze large datasets to train and validate AI models
4. Design and optimize machine learning architectures, neural networks, and deep learning models
5. Utilize natural language processing (NLP) techniques for text analysis and sentiment analysis
6. Explore and apply state-of-the-art AI methodologies and tools to improve existing systems
7. Evaluate and select appropriate AI frameworks, libraries, and technologies for project development
8. Stay up-to-date with the latest advancements and research in AI and machine learning
9. Perform rigorous testing and validation of AI models to ensure accuracy and robustness
10. Collaborate with software engineers to integrate AI solutions into existing applications and systems
11. Provide technical guidance and support to team members on AI-related projects
12. Prepare comprehensive documentation and reports on AI models, methodologies, and findings
13. Participate in knowledge sharing activities, including training sessions and workshops
Essential Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the competencies (minimum knowledge, skill, and ability) required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions)
1. Bachelor's degree in computer science, data science, or a related field. A master's or Ph.D. is preferred
2. Proven experience in developing and deploying AI solutions, preferably in a professional setting
3. Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling
4. Proficiency in programming languages such as Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch)
5. Strong analytical and problem-solving skills, with the ability to interpret complex data sets
6. Knowledge of data preprocessing techniques, feature engineering, and dimensionality reduction
7. Familiarity with cloud-based AI services and platforms (e.g., AWS, Azure, Google Cloud)
8. Experience with natural language processing (NLP) techniques and tools
9. Excellent communication skills, with the ability to present findings and explain AI concepts to non-technical stakeholders
10. Strong project management skills, with the ability to prioritize tasks and deliver projects within deadlines
11. Detail-oriented mindset with a focus on quality, accuracy, and continuous improvement
12. Ability to work collaboratively in cross-functional teams and adapt to fast-paced environments
Skills and Ability
1. Proficiency in machine learning algorithms, neural networks, and deep learning techniques
2. Strong coding skills in Python, R, or Java, with the ability to develop and optimize AI models
3. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
4. Knowledge of cloud-based AI services and platforms for scalable and efficient AI development
5. Ability to analyze complex data sets, identify patterns, and extract meaningful insights
6. Familiarity with natural language processing (NLP) tools and techniques for text analysis
7. Excellent problem-solving and critical-thinking abilities to address AI-related challenges
8. Strong documentation skills for creating comprehensive reports and technical documentation
9. Effective communication and interpersonal skills to collaborate with diverse teams and stakeholders
10. Strong organizational skills to manage multiple projects and deliver results on time
Education/Certification:
  • Bachelor's degree in CS, DS or related, Master's or Ph.D. is preferred

Required Knowledge:
  • Strong internet research skills
  • Proficient in Generative AI
  • Ability to understand commercial real estate terms and standards

EXPERIENCe REQUIRED:
  • Interest in commercial real estate preferred

Work Environment: (The work environment described here are representative of those that the employee must be in to successfully perform the essential functions of this job.)
  • This is a standard office environment with standard office noise like talking, office equipment, etc.

Physical Demands: (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.)
  • While performing the duties of this job, the employee is regularly required to talk and hear. This position is rarely active but may require standing, walking, bending, kneeling, stooping and crouching. The employee must frequently sit and use a computer for long periods of time. Specific vision abilities are required to do this job including close vision. The employee must sometimes lift and/or move items up to 10 pounds.

Supervisory Responsibilities: (scope of the person's authority, including a list of jobs that report to this job).
  • There are no direct supervisory responsibilities