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Generative Ai Project Manager Jobs in Boston, MA

Watts

Generative AI Product Owner

Andover, MA · On-site

Own the Generative AI product vision and roadmap, with primary focus on Microsoft Copilot across ... Agile product delivery and backlog management * Enterprise productivity tools and workflows * Data ...

WilmerHale

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $145K/yr

... manage the execution of AI projects, including project definition, requirements gathering, task ... generative AI, machine learning, and deep learning techniques and identifies opportunities to ...

WilmerHale

Artificial Intelligence (AI) Engineer

Boston, MA

$105K - $144K/yr

... manage the execution of AI projects, including project definition, requirements gathering, task ... generative AI, machine learning, and deep learning techniques and identifies opportunities to ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Boston, MA

Generative Ai Project Manager information

See Boston, MA salary details

$41.8K

$111.6K

$176K

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

As of Aug 6, 2026, the average yearly pay for generative ai project manager in Boston, MA is $111,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $133,600.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Generative Ai Project Manager jobs in Boston, MA? For Generative Ai Project Manager jobs in Boston, MA, the most frequently searched job titles are:
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What cities near Boston, MA are hiring for Generative Ai Project Manager jobs? Cities near Boston, MA 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 Boston, MA as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $111,554 per year, or $53.6 per hour.

Artificial Intelligence (AI) Engineer

Wilmerhale

Boston, MA • On-site

Full-time

Re-posted 28 days ago

Job description

WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

About the Role

The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management.  Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.

What You Will Be Doing

       Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.

       Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services.  Provides updates and recommendations to Director, Application Services.

       Optimizes existing generative AI models for improved performance, scalability, and efficiency.

       Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.

       Contributes to the establishment of best practices and standards for AI development within the organization.

       Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.

       Provides functional and technical support and enhancements for the firm's AI solutions.

       Provides technical mentorship and guidance to other team members.

       Creates and delivers end-user training and documentation and provides second-line support to other users.

       Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.

       Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.

       Participates in special projects and performs other duties as assigned.

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