1

Generative Ai Project Manager Jobs in Bothell, WA

... 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

New

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 ...

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 ...

Showing results 21-40

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 Aug 20, 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 are popular job titles related to Generative Ai Project Manager jobs in Bothell, WA?

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

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:

Infographic showing various Generative Ai Project Manager job openings in Bothell, WA as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $114,787 per year, or $55.2 per hour.

AI Researcher - Large Language Models (LLMs)

ResourceWell

Redmond, WA

Full-time

Medical, Retirement

Re-posted 18 days ago


Job description

AI Researcher - Large Language Models (LLMs) Join our client's Research and Development (AI/ML Team) in Redmond, where innovation meets impact. Their team is at the forefront of AI research, specialising in cutting-edge advancements in Large Language Models (LLMs) and generative AI. They offer a dynamic, collaborative environment where visionary researchers drive transformative projects with real-world impact.

What You'll Do As an AI Researcher, you will: Conduct pioneering research on LLMs, focusing on architecture, training, optimization, and fine-tuning methodologies. Design and implement advanced data preparation workflows, including data cleaning, augmentation, and synthetic data generation. Develop scalable training pipelines for LLMs using distributed computing and state-of-the-art optimization algorithms.

Explore multi-modal AI systems, integrating LLMs with other data types such as vision and audio. Publish high-impact research in top-tier journals and conferences like IEEE, enhancing the field of AI. Mentor junior researchers, sharing best practices to inspire impactful AI innovations.

Stay at the cutting edge of LLM advancements, fostering continuous learning and innovation within the team. Requirements Required Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with research emphasis on NLP, LLMs, or generative AI

Demonstrated expertise in training and fine-tuning large-scale language models (e.g., GPT, BERT, T5). Strong publication record in IEEE or equivalent journals/conferences related to LLM training, data preparation, or synthetic data generation. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX

Hands-on experience in large-scale data processing and distributed training techniques. Preferred Qualifications: Experience with RAG and multi-modal AI systems. Expertise in domain-specific LLM fine-tuning and data augmentation.

Familiarity with synthetic data generation tools and platforms like Apache Spark or Dask. Proven leadership and mentoring abilities in a research settings. Benefits What Our Client Offers Competitive Salary: Reflective of your expertise and experience.

Cutting-Edge Infrastructure: Access to state-of-the-art computational resources for large-scale AI model training. Professional Growth: Opportunities to publish in prestigious venues and collaborate with leading AI experts. Real-World Impact: Be a part of transformative AI projects shaping industries.

Comprehensive Benefits: Robust health coverage, retirement plans, and more. Why Join Our Client. By joining, you will: Lead groundbreaking research in the field of LLMs and generative AI.

Collaborate with a team of industry-leading AI researchers. Drive innovation in a supportive and dynamic environment. Contribute to projects with significant societal and industrial implications.

Next Steps Ready to revolutionize the future of AI. Apply today. Applications will be reviewed on a rolling basis.

Location This position is based in Redmond. Equal Opportunity We value diversity and are committed to creating an inclusive environment for all employees.