1

Generative Ai Project Manager Jobs in Springfield, MA

AI Security Architect

Hartford, CT

$65.50 - $84.75/hr

Ensure secure use of generative AI, large language models (LLMs), and thirdparty AI services ... Guide development teams on secure coding, API security, identity and access management, and secrets ...

AI Engineer

Hartford, CT · On-site

$115.50K - $138.70K/yr

... projects that shape the future of business. We are committed to fostering a culture of continuous ... TensorFlow, PyTorch, LangChain Expertise in Generative AI, including: RAG (Retrieval-Augmented ...

Electrical Project Manager If you are an Electrical Construction Project Manager with experience ... Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review ...

Finance Analytics & AI Senior Consultant

Hartford, CT · On-site

$117.50K/yr

Architect generative and agentic AI solutions across infrastructure, model, and application layers ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

next page

Showing results 1-20

Generative Ai Project Manager information

See Springfield, MA salary details

$38.4K

$102.3K

$161.4K

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

As of May 31, 2026, the average yearly pay for generative ai project manager in Springfield, MA is $102,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $122,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Generative AI Project Manager, and why are they important?

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 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 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 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 are popular job titles related to Generative Ai Project Manager jobs in Springfield, MA? For Generative Ai Project Manager jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Project Manager jobs in Springfield, MA look for? The top searched job categories for Generative Ai Project Manager jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Generative Ai Project Manager jobs? Cities near Springfield, MA with the most Generative Ai Project Manager job openings:
Infographic showing various Generative Ai Project Manager job openings in Springfield, MA as of May 2026, with employment types broken down into 6% Internship, 76% Full Time, 6% Part Time, and 12% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $102,323 per year, or $49.2 per hour.

AI Security Architect

FAVARH

Hartford, CT

$65.50 - $84.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

The AI Security Architect role will be a key delivery role for VOYA Financial focusing on a portfolio of programs or large projects as well as the line-of-business (LOB) or business unit (BU) applications, specializing in artificial intelligence. The AI Security Architect is accountable for proactively leading or supporting architecture activities that create deliverables that guide business models, people, process, organizational change, and technology investments toward achieving targeted business outcomes. This individual is responsible for leveraging technology to enable the organization's future-state business capabilities, which can enable or alter business processes or practices that, in turn, drive the organization's targeted business outcomes.


AI Security Architects must be capable of practically applying existing, new, and emerging artificial intelligence technologies to new and evolving business and operating models. The individual in this role develops deliverables that are valuable to the business, including business capabilities, business requirements and workflow. This individual is responsible for being a thought leader and driving AI and GenAI projects and initiatives from inception through completion.

Duties:

AI Security Architecture and Governance

  • Create deliverables that illustrate how to strategically move the business forward.
  • Define and maintain AI security reference architectures, design patterns, and standards covering data ingestion, model training, deployment, inference, and monitoring
  • Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements
  • Ensure secure use of generative AI, large language models (LLMs), and thirdparty AI services through policy, technical controls, and architectural review

Enhance Security Posture

  • Drive greater usage of AI within security team to improve posture and operations
  • Create new ML/AI use cases to include AgenticAI and drive to execution within security and cloud operations

Threat Modeling and Risk Management

  • Conduct AIspecific threat modeling and risk assessments, including risks related to data poisoning, adversarial attacks, model theft, prompt injection, and unauthorized model usage
  • Define mitigations and compensating controls for identified risks across cloud, application, API, and data layers
  • Partner with detection and response teams to design monitoring and logging for AI systems

Secure Design and Implementation

  • Engage key business stakeholders to facilitate both strategy and innovation planning.
  • Review and approve AI solution designs to ensure alignment with security, privacy, and resilience requirements
  • Design controls for secure data pipelines, secure model storage, controlled model access, and protected inference endpoints
  • Guide development teams on secure coding, API security, identity and access management, and secrets management for AI workloads

Compliance, Privacy, and Responsible AI

  • Collaborate with legal, privacy, and compliance teams to ensure AI solutions meet regulatory and internal policy obligations
  • Support audits, risk reviews, and control assessments related to AI systems
  • Contribute to responsible AI practices by integrating security, privacy, and risk considerations into enterprise AI standards

Collaboration & Leadership

  • Develop, motivate and direct staff to create a team environment, and enable staff to fulfill the line-of-business (LOB) or business unit (BU) partners operating objectives
  • Act as a security subjectmatter expert for AI initiatives across the organization
  • Translate complex AI security risks into clear business and executivelevel guidance
  • Mentor engineers and architects on AI security best practices and emerging threats

Knowledge & Experience:

  • Bachelor's degree in business, computer science, information systems or related discipline, or equivalent and extensive related project experience; Master's degree preferred.
  • 7+ years of progressive experience as an architect, with at least 3 years experience in artificial intelligence and generative AI.
  • 5+ years of business or IT experience with a direct responsibility for strategy formulation and/or translation, business analytics, and program management, application development, middleware, database management or operations.

Differentiators:

  • Expert level experience in one or more of the following areas: strategic planning, leadership, business relationship management and business process management.
  • Expert level knowledge and understanding of different types of business and operating models (existing, new, emerging and hybrid).
  • Expert level knowledge of existing, new and emerging technologies and being able to apply them to new business designs and business models.
  • Expert level in-depth experience with business transformation and process redesign methods.
  • Expert level knowledge in all aspects of designing and constructing business processes, functions and organizational structures.
  • Expert level knowledge of facilitation and organization change management.
  • Expert level analytical and conceptual skills; ability to create original concepts and theories for a variety of programs and projects.
  • Expert level experience leading multi-disciplined, high-performance work teams.
  • Expert level skills in leading program management efforts involving the coordination of resources and goals across multiple related projects.
  • Expert level experience developing and monitoring delivery of efficient and effective solutions to diverse and complex business problems.
  • Expert level knowledge of finance, accounting, valuation and metrics development.
  • Expert level statistical and information analysis skills (a plus).
  • Practical ability to communicate, influence and persuade - business and IT leaders as well as peers.
  • Use the language of business leaders and join the conversation that's taking place.
  • Expert level ability to adapt to rapidly changing technology and apply it to business needs.
  • Expert level ability to establish and maintain a high-level of business partner trust and confidence.
  • Expert level ability to analyze project needs and determine resources needed to meet objectives and solve problems that involve remote and elusive symptoms, often spanning multiple environments in a business area.
  • Expert level understanding of business process management, workflow and integration methods and tools.
  • Team player, facilitator and works well with others. Respected and trusted leader.
  • Remains unbiased, specific technology- and vendor-neutral - more interested in results than personal preferences.
  • Displays intellectual curiosity and integrity.
  • Motivated by long-term results and achieving targeted business outcomes.

Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$114,480 - $170,070 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

Misuse of Voya's name in fraud schemes