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Ai Ml Project Manager Jobs (NOW HIRING)

Virtusa

AI/ML Project Manager

New York, NY · Hybrid

AI/ML Project Manager Location: Philadelphia, PA (Hybrid role) Lead endtoend delivery of AI and ML initiatives from ideation to deployment and adoption. Develop detailed project plans, delivery ...

Virtusa

AI/ML Project Manager

New York, NY · Hybrid

AI/ML Project Manager Location: Philadelphia, PA (Hybrid role) Lead endtoend delivery of AI and ML initiatives from ideation to deployment and adoption. Develop detailed project plans, delivery ...

Virtusa Corporation

AI/ML Project Manager

New York, NY · On-site

AI/ML Project Manager Location: Philadelphia, PA (Hybrid role) Lead end-to-end delivery of AI and ML initiatives from ideation to deployment and adoption. Develop detailed project plans, delivery ...

Saransh Inc

AI/ ML Project Manager

Woodland Hills, CA · On-site

Project Manager (AI/ML) Location: Woodland Hills, CA (Day 1 Onsite) Job Type: Contract Required Skills (Must-have): * Project management - 10+ Yrs of Exp * AI/ML product deliveries or cloud-native ...

Code, LLC

Director of AI & ML

Denver, CO · On-site

Team Management: Lead, mentor, and inspire a cross-functional team of data scientists, machine ... Project Execution: Oversee the end-to-end delivery of AI & ML projects, ensuring high-quality ...

Code, LLC

Director of AI & ML

Denver, CO · On-site

Team Management: Lead, mentor, and inspire a cross-functional team of data scientists, machine ... Project Execution: Oversee the end-to-end delivery of AI & ML projects, ensuring high-quality ...

Cotiviti

$110K - $135K/yr

Overview As an AI Program/Project Manager , you will play a pivotal role in driving the development ... Lead the delivery of high-quality AI/ML solutions, ensuring adherence to timelines, scope, and ...

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

As of Jun 15, 2026, the average yearly pay for ai ml project manager in the United States is $102,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is an AI/ML Project Manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are some common challenges faced by AI/ML Project Managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

What is the difference between Ai Ml Project Manager vs Data Scientist?

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

What are the key skills and qualifications needed to thrive as an AI/ML Project Manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.
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Ai Ml Project Manager jobs near you
AI/ML Project Manager

AI/ML Project Manager

Virtusa

New York, NY • Hybrid

Other

Posted 10 days ago

Job description

Title: AI/ML Project Manager

Location: Philadelphia, PA (Hybrid role)

 Lead endtoend delivery of AI and ML initiatives from ideation to deployment and adoption.
Develop detailed project plans, delivery timelines, risk mitigation strategies, and progress reports.
Coordinate cross-functional teams including architects, data scientists, data engineers, and product owners.
Ensure all AI deliverables meet quality, compliance, and performance standards.
Partner with business leaders to understand needs, identify AI opportunities, and translate them into solution requirements.
Facilitate discovery sessions, workshops, and stakeholder interviews.
Provide thought leadership on AI strategy, feasibility, ROI, and innovation pathways.
Communicate complex AI concepts in simple terms for nontechnical stakeholders.
Collaborate with AI architects to define solution blueprints and technical approaches.
Validate model design, data strategy, integration patterns, and MLOps practices.
Oversee experimentation, prototyping, and pilot phases to ensure alignment with business goals.
Support implementation of responsible AI principles, security standards, and ethical guidelines.
Manage risks related to data privacy, bias, scalability, and regulatory compliance.
Ensure adherence to organizational delivery frameworks and documentation standards.
Develop change management strategies to ensure successful AI solution adoption.

Required Qualifications

Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Business, or related field.

8+ years of experience in technology consulting, program delivery, or AI/ML solution implementation.
Strong understanding of AI/ML concepts (model lifecycle, data engineering, generative AI, analytics).
Proven track record managing complex, multi-stakeholder technology projects.
Excellent communication, presentation, and stakeholder management skills.
Experience working in agile delivery methodologies.

Preferred Qualifications

Experience with cloud-based AI platforms (Azure, AWS, Google Cloud).
Exposure to MLOps tools and model deployment workflows.
Experience delivering generative AI, LLM-based solutions, or RAG pipelines.
Industry certifications (PMP, Scrum Master, Cloud Architect, AI certifications).
Prior consulting experience with enterprise clients

Title: AI/ML Project Manager

Location: Philadelphia, PA (Hybrid role)

 Lead endtoend delivery of AI and ML initiatives from ideation to deployment and adoption.
Develop detailed project plans, delivery timelines, risk mitigation strategies, and progress reports.
Coordinate cross-functional teams including architects, data scientists, data engineers, and product owners.
Ensure all AI deliverables meet quality, compliance, and performance standards.
Partner with business leaders to understand needs, identify AI opportunities, and translate them into solution requirements.
Facilitate discovery sessions, workshops, and stakeholder interviews.
Provide thought leadership on AI strategy, feasibility, ROI, and innovation pathways.
Communicate complex AI concepts in simple terms for nontechnical stakeholders.
Collaborate with AI architects to define solution blueprints and technical approaches.
Validate model design, data strategy, integration patterns, and MLOps practices.
Oversee experimentation, prototyping, and pilot phases to ensure alignment with business goals.
Support implementation of responsible AI principles, security standards, and ethical guidelines.
Manage risks related to data privacy, bias, scalability, and regulatory compliance.
Ensure adherence to organizational delivery frameworks and documentation standards.
Develop change management strategies to ensure successful AI solution adoption.

Required Qualifications

Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Business, or related field.

8+ years of experience in technology consulting, program delivery, or AI/ML solution implementation.
Strong understanding of AI/ML concepts (model lifecycle, data engineering, generative AI, analytics).
Proven track record managing complex, multi-stakeholder technology projects.
Excellent communication, presentation, and stakeholder management skills.
Experience working in agile delivery methodologies.

Preferred Qualifications

Experience with cloud-based AI platforms (Azure, AWS, Google Cloud).
Exposure to MLOps tools and model deployment workflows.
Experience delivering generative AI, LLM-based solutions, or RAG pipelines.
Industry certifications (PMP, Scrum Master, Cloud Architect, AI certifications).
Prior consulting experience with enterprise clients

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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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