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Ai Program Jobs in Massachusetts (NOW HIRING)

AI Engineer (Hybrid)

Boston, MA · Hybrid

$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 ...

AI Engineer (Hybrid)

Boston, MA · Hybrid

$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 ...

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 ...

Showing results 41-60

Ai Program information

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 Massachusetts?

The most popular types of Ai Program jobs in Massachusetts are:

What are popular job titles related to Ai Program jobs in Massachusetts?

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

What job categories do people searching Ai Program jobs in Massachusetts look for?

The top searched job categories for Ai Program jobs in Massachusetts are:

What cities in Massachusetts are hiring for Ai Program jobs?

Cities in Massachusetts with the most Ai Program job openings:

Infographic showing various Ai Program job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Technical Program Manager, AI Data

Lila Sciences

Cambridge, MA

$141K - $182K/yr

Full-time

Re-posted 22 days ago


Job description

Your Impact at LILA

Lila is building toward scientific superintelligence, which depends on a steady supply of high-quality, purpose-built AI data. We're looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams - standing up new project teams, keeping them on schedule, and incorporating that data into the model training pipeline.

You don't need to be an ML researcher, but you must be genuinely curious about how AI data fuels model development and able to clearly articulate what your programs will deliver. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team.

What You'll Be Building

  • Launch and operate cross-functional project teams that produce AI data for scientific superintelligence, ensuring each team executes with at high velocity and delivers standardized outputs the model training team can directly consume.
  • Serve as the key communication interface between project teams and the research, science, and model training organizations; set up the organizational information flows that allow this communication to happen with speed at scale.
  • Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment.
  • Define and enforce data delivery standards, QA gates, and handoff protocols so model training receives consistent, high-quality inputs across all active project teams.
  • Implement best practices for rapid experimentation and iteration, enabling new project teams to ramp efficiently as additional data initiatives come online.
  • Develop clear documentation and reporting to communicate vision, track progress, and align project team work with broader AI Research priorities; represent program status and risks accurately even when the picture is uncertain or evolving.

What You'll Need to Succeed

  • Bachelor's or Master's degree in Computer Science, Engineering, Life Sciences, or a related field.
  • 8+ years of program or project management experience in the technology or life sciences field.
  • Proven experience leading cross-functional programs and driving them to successful completion under tight delivery timelines.
  • Strong analytical and problem-solving skills, with the ability to turn technical and data requirements into actionable program roadmaps.
  • Exceptional written and verbal communication skills; track record of producing executive-quality documents, roadmaps, and updates that drive decisions.

Bonus Points For

  • Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity.
  • Working familiarity with model training data pipelines, dataset curation, or ML evaluation workflows - sufficient to engage credibly with researchers and ask good questions.
  • Experience managing programs that produce standardized outputs for downstream technical consumers (e.g., model training, eval, or platform teams).
  • Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.