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Generative Ai Project Manager Jobs in Bothell, WA

Reply

Senior AI Engineer

Seattle, WA

$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 ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

The Sr. Product Manager for Databricks AI will shape the future of enterprise AI by defining and driving the vision for generative AI products, partnering with engineering teams to turn breakthroughs ...

Reply

Senior AI Engineer

Seattle, WA

$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 ...

Pwc

SAP Technology Gen AI, Manager

Seattle, WA

$99K - $232K/yr

... Generative AI and Machine Learning solutions - Oversee project delivery and promote productive ... managing AI/ML development - Demonstrating proficiency in Python for model development ...

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 May 30, 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 are the key skills and qualifications needed to thrive as a Generative AI Project Manager, and why are they important?

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 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 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 May 2026, with employment types broken down into 5% Internship, 80% Full Time, 5% Part Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $114,787 per year, or $55.2 per hour.
Senior AI Engineer

Senior AI Engineer

Reply

Seattle, WA

$140K - $180K/yr

Full-time

Posted 23 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace. Through the expertise of their people and power of Microsoft technologies, they provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences.  Their innovative strategies and solutions securely and rapidly transform the way their clients do business. 

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and then deliver projects for customers as part of a team. This is a hands-on role involving consulting, leading, coding, and delivering sophisticated AI solutions. Projects will span from workshops to comprehensive enterprise-level deployments.
Responsibilities
  • Implementing AI solutions through people, processes, and technology
  • Facilitate customer education and ideation workshops focused on developing use cases and implementing modern AI/ML solutions.
  • Consulting with stakeholders to identify opportunities for AI integration, advising on best practices, and tailoring AI strategies to meet business objectives
  • Defining project requirements clearly, designing robust solution architectures, and ensuring alignment with business goals and technical capabilities
  • Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring. Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI technologies is essential
  • Facilitating cross-functional collaboration, working closely with technical and non-technical teams to deliver outstanding service to customers and ensure the successful integration of AI solutions into business processes
  • Staying updated on the latest advancements in AI and Generative AI, and advising teams on integrating cutting-edge techniques, to enhance project outcomes and drive innovation

Minimum Requirements
  • Bachelor's degree in computer science, artificial intelligence, data science, or a related field
  • Proven client facing experience, translating complex requirements into actionable AI solutions that meet business objectives
  • 5 years of professional software engineering experience in Azure and Python
  • 3 years of experience with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc.
  • 2 years demonstratable experience with Azure AI solution design and production delivery,highlighting proficiency in natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services (OpenAI, Speech, Vision, etc.) using tools like Azure AI Foundry, prompt flow, and Copilot Studio.
  • Production experience with Azure AI platform, and the implementation of enterprise solutions
  • Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI practices, and managing an organization's models
Preferred Qualifications
  • Professional software engineering experience in C#.net
  • Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Developing cloud software services and an understanding of design for scalability,performance, and reliability in Azure
  • Ability to support go-to-market content with technical support and present AI related research to customers and at events
  • Experience with DevOps tools and processes such as Azure DevOps, GitHub, Docker and Kubernetes
About Reply

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.

The base compensation range for this full-time position is between $140,000 - $180,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.

Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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