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Ai Project Manager Jobs in Connecticut (NOW HIRING)

... projects Architecture Review Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices Collaborate with architects and ...

Technical Program Manager Gen AI

Hartford, CT ยท On-site

$130K - $168K/yr

... projects Architecture Review Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices Collaborate with architects and ...

Project Manager

Bethel, CT ยท On-site

$70K - $85K/yr

Our work spans marketing, events, retail, social media, web, mobile, AI, AR, eComm, voice, video ... Manage simultaneous projects within budgetary and schedule constraints. * Monitor, report ...

By integrating structured program management with emerging tools such as AI, this role helps GRB ... Project Management Excellence for GRB Flagship Events * Maintain and own project plans as the ...

By integrating structured program management with emerging tools such as AI, this role helps GRB ... Project Management Excellence for GRB Flagship Events * Maintain and own project plans as the ...

By integrating structured program management with emerging tools such as AI, this role helps GRB ... Project Management Excellence for GRB Flagship Events * Maintain and own project plans as the ...

Senior Project Manager

Stamford, CT ยท On-site

$60 - $70/hr

Description: On-site in Stamford, CT Our client seeks a Senior Project Manager to lead complex ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

Senior Project Manager

Stamford, CT ยท On-site

$60 - $70/hr

Description: On-site in Stamford, CT Our client seeks a Senior Project Manager to lead complex ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

... generation AI. We empower businesses-and their customers-to achieve more through innovation ... Manage projects involving multiple technical disciplines including networking, security ...

What this job involves: As a Project Manager , you will play a pivotal role in delivering ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

As a Senior Project Manager , you will play a crucial role in this pursuit by leading projects and ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

As a Senior Project Manager , you will play a crucial role in this pursuit by leading projects and ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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Ai Project Manager information

See Connecticut salary details

$36.6K

$97.7K

$154.1K

How much do ai project manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai project manager in Connecticut is $97,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $117,000.00 per year, depending on experience, location, and employer.

What is an AI project manager?

An AI Project Manager is a professional responsible for overseeing projects that involve artificial intelligence technologies. They bridge the gap between technical AI teams and business stakeholders, ensuring that projects are delivered on time, within budget, and meet the desired outcomes. Their duties often include planning, coordinating resources, managing risks, and communicating progress. AI Project Managers must understand both project management methodologies and the fundamentals of AI to effectively guide their teams. They also play a crucial role in aligning AI initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI project manager?

To thrive as an AI Project Manager, you need a solid understanding of AI concepts, project management methodologies, and experience with cross-functional teams, often backed by a degree in computer science or a related field. Familiarity with tools like JIRA, Asana, and AI development platforms, as well as certifications such as PMP or Agile Scrum Master, is typically required. Strong leadership, communication, and problem-solving skills help facilitate collaboration and manage stakeholder expectations. These competencies are crucial to successfully delivering complex AI projects on time and within scope, ensuring alignment between technical teams and business goals.

How does an AI project manager typically collaborate with data scientists and software engineers during a project?

An AI Project Manager serves as a crucial bridge between technical teams, like data scientists and software engineers, and stakeholders. They facilitate clear communication by translating project goals into actionable tasks and ensuring timelines are met. Regular check-ins, sprint planning, and progress reviews are common, allowing the manager to address roadblocks and realign priorities as needed. This collaborative approach helps ensure that project deliverables align with both technical specifications and business objectives.

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

AspectAi Project ManagerData Scientist
Required CredentialsBachelor's in CS, Business, or related; certifications in AI/ML project managementBachelor's or higher in CS, Statistics, or related; advanced degrees often preferred
Work EnvironmentOversees AI projects, collaborates with technical teams and stakeholdersAnalyzes data, develops models, and interprets results
Industry UsageUsed across tech, finance, healthcare for managing AI initiativesCommon in research, tech, and analytics sectors

The Ai Project Manager focuses on leading AI projects, coordinating teams, and ensuring project goals are met. In contrast, Data Scientists primarily analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within AI and data-driven environments.

How do you become an AI project manager?

To become an AI project manager, candidates typically need a background in computer science, data science, or related fields, along with experience managing technology projects. Strong skills in AI concepts, project management methodologies like Agile, and familiarity with tools such as JIRA or Trello are important. Earning certifications like PMP or Scrum Master can also enhance qualifications.

How much do AI project managers make?

AI project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $180,000.

What are popular job titles related to Ai Project Manager jobs in Connecticut?

For Ai Project Manager jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Ai Project Manager jobs?

Cities in Connecticut with the most Ai Project Manager job openings:

Infographic showing various Ai Project Manager job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $97,680 per year, or $47 per hour.

Program Manager Gen AI

Edge Global

Hartford, CT โ€ข On-site

Other

Re-posted 10 days ago


Job description

Position: Program Manager Gen AI

Location: : Hartford CT (5 days in a week)

Job type: Contract

JD:-

  • Technical Program Manager AI Center of Enablement Position Overview Seeking a highly skilled and experienced Technical Program Manager for AI Center of Enablement The ideal candidate will work closely with various departments to manage the execution of proposed AI experiments and use cases This role involves analyzing the value delivered by AI use cases ensuring architecture reviews are conducted delivery checklists are followed and AI guardrails are metThe Technical Program Manager will play a critical role in driving the successful implementation of AI initiatives across the organization Key Responsibilities AI Use Case Analysis Analyze the value delivered by AI use cases assessing both quantitative and qualitative benefits Work with finance controllers to validate the financial value calculations of AI use cases Provide regular reports and updates to stakeholders on the performance and outcomes of AI projects Architecture Review Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture review findings and recommendations for continuous improvement Delivery Management Oversee the execution and delivery of AI projects ensuring adherence to project timelines budgets and quality standards Implement and enforce delivery checklists to ensure all critical steps and requirements are met Coordinate with cross functional teams including data scientists engineers and product managers to ensure successful project delivery AI Governance Ensure that all AI projects comply with established AI guardrails including ethical guidelines data privacy and security standards Implement monitoring and auditing mechanisms to track compliance with AI governance policies Develop and maintain documentation for AI governance including model validation testing and deployment protocols AI Model Capacity Management Manage the capacity and scalability of AI models to ensure optimal performance and resource utilization Monitor and forecast AI model capacity needs adjusting as necessary to meet project demands Collaborate with infrastructure and operations teams to ensure the AI platform can support current and future model requirements Stakeholder Collaboration Facilitate effective communication and collaboration among cross functional teams and stakeholders Conduct regular meetings and workshops to gather feedback address concerns and ensure alignment on project goals and priorities Act as a liaison between business units and technical teams translating business requirements into technical specifications Continuous Improvement Identify opportunities for process improvements and efficiencies in AI project management and delivery Stay up to date with the latest advancements in AI technology and best practices continuously seeking ways to enhance the AI Center of Enablement Foster a culture of innovation and continuous learning within the team encouraging the exploration of new technologies and methodologies Value Calculation Financial Validation Collaborate with finance controllers to validate the financial value calculations of AI use cases Ensure accurate and transparent reporting of the financial impact of AI projects