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Ai Program Jobs in Boston, MA (NOW HIRING)

AI Engineer (Hybrid) (Boston)

Boston, MA · On-site

$130K - $190K/yr

... programs, you will design, build, and support AI solutions that scale across corporate functions and construction sites nationwide. You will work closely with executives, functional leaders, and ...

This role leads the programs, learning, content, and measurement that drive adoption and effective, responsible use of AI technologies across Crowe's business units, international affiliates, and ...

Blitzy Enterprise AI Consultant Program For High-Performing Early-Career Engineers (0-3 Years Post-Graduation) About the Role - Associate AI Solutions Engineer Initial Role: Associate AI Solutions ...

Director I, Product Research

Boston, MA · On-site

$253K - $265K/yr

The Director, AI Program Management sits within Delivery and is accountable for coordinating, road mapping, and driving AI execution across all Small Commercial Product functions. This individual ...

Director I, Product Research

Boston, MA · On-site

$120K - $225K/yr

The Director, AI Program Management sits within Delivery and is accountable for coordinating, road mapping, and driving AI execution across all Small Commercial Product functions. This individual ...

The Director, AI Program Management sits within Delivery and is accountable for coordinating, road mapping, and driving AI execution across all Small Commercial Product functions. This individual ...

Showing results 41-60

Ai Program information

See Boston, MA salary details

$27.2K

$98.4K

$127.7K

How much do ai program jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai program in Boston, MA is $98,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $126,600.00 per year, depending on experience, location, and employer.

What is an AI program?

AI programs are software applications designed to simulate human intelligence processes such as learning, reasoning, problem-solving, and decision-making. They use algorithms, data, and computational power to perform tasks that typically require human intelligence, including language understanding, image recognition, and decision automation. AI programs can be found in various industries, powering technologies like virtual assistants, recommendation systems, and automated customer service. Their capabilities are continually evolving as advancements in machine learning and data processing occur.

What are some typical challenges faced by professionals working in AI program management, and how can they overcome them?

Professionals in AI program management often face challenges such as ensuring effective communication between technical and non-technical stakeholders, managing rapidly evolving project requirements, and staying updated with the latest advancements in AI technologies. To overcome these hurdles, successful AI program managers focus on fostering collaborative team environments, maintaining flexible project plans, and continuously investing in professional development. Regularly aligning goals with stakeholders and encouraging cross-functional learning are also key strategies for managing complexity and driving project success.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need a solid background in computer science, project management, and a strong understanding of artificial intelligence concepts, often supported by a relevant degree and certifications like PMP or Agile. Familiarity with technical tools such as JIRA, Python, machine learning frameworks, and cloud platforms is typically required. Outstanding communication, leadership, and problem-solving skills help drive cross-functional teams and manage stakeholder expectations. These abilities are essential for successfully delivering AI projects that meet organizational goals and adapt to rapidly evolving technologies.

What is the difference between Ai Program vs Data Scientist?

AspectAi ProgramData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, research labs; often collaborative and project-basedBusiness, finance, healthcare sectors; analytical and research-focused
Employer & Industry UsageDeveloping AI models, algorithms, and applicationsAnalyzing data, building predictive models, deriving insights

While both roles require knowledge of machine learning and programming, Ai Programs focus on developing AI systems and algorithms, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within tech and data-driven industries.

What careers can I get in AI?

Careers in AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and knowledge of AI frameworks like TensorFlow or PyTorch, often supported by relevant certifications or advanced degrees.

What are the most commonly searched types of Ai Program jobs in Boston, MA?

The most popular types of Ai Program jobs in Boston, MA are:

What are popular job titles related to Ai Program jobs in Boston, MA?

For Ai Program jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Ai Program jobs?

Cities near Boston, MA with the most Ai Program job openings:

Infographic showing various Ai Program job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $98,380 per year, or $47.3 per hour.

Program Manager, Frontier AI Assistants Enablement

Suffolk Construction

Boston, MA • On-site

Full-time

Re-posted 25 days ago


Suffolk Construction rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Suffolk Construction is a national enterprise that builds, innovates, and invests across the project lifecycle. They are seeking a Program Manager to support the rollout and management of AI assistants, focusing on employee adoption and effective usage in their daily work.
Responsibilities:
• Support day-to-day management of general-purpose AI assistants, including license allocation, user access, feature availability, configuration, and vendor coordination.
• Partner with IT, security, legal, data, and AI engineering teams to evaluate and enable AI assistant features in a safe, scalable, and compliant way.
• Monitor usage, adoption, license utilization, token consumption, spend, and other operational metrics.
• Help develop processes to improve visibility into AI assistant usage, adoption patterns, and business value.
• Stay current on updates, features, vendor roadmaps, and emerging capabilities across frontier AI assistants.
• Design and coordinate enablement programs for different user groups, from foundational users to advanced power users.
• Run office hours, workshops, demos, and role-specific training sessions.
• Lead and support an AI Champions group to scale awareness, adoption, and responsible usage across teams.
• Interview users and stakeholders to understand needs, adoption barriers, workflow opportunities, and support requirements.
• Partner with Learning & Development, Operational Excellence, change management, communications, IT, data, and AI engineering teams to support adoption.
• Coordinate pilots for new AI assistant features or tools, gather feedback, document lessons learned, and recommend next steps.
• Define and track adoption metrics, usage trends, engagement levels, and indicators of business impact.
Qualifications:
Required:
• 5–8 years of experience in technology, program management, digital enablement, enterprise applications, product operations, or a related role; or equivalent management experience in construction and a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, Finance, or a related discipline.
• Experience with ChatGPT Enterprise, Claude Enterprise, Microsoft Copilot, or similar general-purpose AI assistants.
• Experience driving adoption, training, enablement, or change management for technology tools or business applications.
• Strong AI user with demonstrated familiarity using general-purpose AI assistants, including the ability to apply them effectively to day-to-day work and evaluate new capabilities.
• Experience supporting enterprise technology tools, including user access, licensing, feature configuration, reporting, and vendor coordination.
• Strong program management skills, including planning, stakeholder management, execution, documentation, and follow-through.
• Ability to work cross-functionally with IT, security, data, engineering, learning and development, operational excellence, communications, and business teams.
• Strong analytical skills, with the ability to interpret usage data, adoption metrics, license utilization, spend, and user feedback.
• Excellent communication and facilitation skills, including the ability to lead office hours, trainings, workshops, demos, and stakeholder discussions.
• High attention to detail, curiosity about emerging AI capabilities, and comfort.
Preferred:
• Familiarity with responsible AI usage, data privacy, security reviews, enterprise technology controls, and safe enablement practices.
• Familiarity with automation, low-code/no-code tools, or agentic AI workflows.
• Experience creating adoption dashboards or reporting on usage, licenses, spend, training participation, or business impact.
• Experience in a large enterprise environment with multiple stakeholder groups and governance requirements.
Company:
Suffolk Construction is a construction contracting company. Founded in 1982, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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