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Generative Ai Phd Jobs in Springfield, MA (NOW HIRING)

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Generative Ai Phd information

See Springfield, MA salary details

$28.9K

$117.1K

$226.7K

How much do generative ai phd jobs pay per year?

As of Aug 5, 2026, the average yearly pay for generative ai phd in Springfield, MA is $117,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $168,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a generative AI PhD?

To thrive as a Generative AI PhD, you need deep expertise in machine learning, mathematics, and computer science, typically supported by a doctoral degree in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data and cloud computing are essential. Strong research acumen, critical thinking, and the ability to clearly communicate complex ideas are vital soft skills for success in academic or industry settings. These skills drive innovative research, enable effective collaboration, and ensure impactful contributions to the rapidly evolving field of generative AI.

What are some common challenges faced when transitioning from academic research to an industry role as a generative AI PhD?

One common challenge is adapting to faster-paced project timelines, as industry work often emphasizes practical results and product integration over long-term theoretical exploration. Additionally, collaboration across multidisciplinary teams—including software engineers, product managers, and designers—requires strong communication skills to translate complex research into actionable solutions. Many new hires also find it necessary to balance advancing the state-of-the-art with addressing immediate business needs, which can shift the focus from pure research to more applied problem-solving.

What is a generative AI PhD?

A Generative AI PhD is a doctoral program focused on researching and developing artificial intelligence systems that can generate new content, such as text, images, music, or code. Students in this program study advanced machine learning techniques, including deep learning, neural networks, and probabilistic models. The goal is to push the boundaries of what AI can create, leading to innovations in fields like natural language processing, computer vision, and creative arts. Graduates often pursue careers in academia, research labs, or tech companies working on cutting-edge AI technologies.

What is the difference between Generative Ai Phd vs Machine Learning Engineer?

AspectGenerative Ai PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, industry projects
Employer & Industry UsageAcademic institutions, research firms, AI labsTech firms, software companies, AI product teams

Generative Ai Phds focus on advanced research, developing new models and theories in AI, often working in academic or research settings. Machine Learning Engineers implement AI models into products, working in industry environments to develop scalable solutions. While both roles require strong AI knowledge, the PhD emphasizes research depth, whereas the Engineer emphasizes application and deployment.

What are popular job titles related to Generative Ai Phd jobs in Springfield, MA? For Generative Ai Phd jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Phd jobs in Springfield, MA look for? The top searched job categories for Generative Ai Phd jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Generative Ai Phd jobs? Cities near Springfield, MA with the most Generative Ai Phd job openings:
Generative Ai Phd jobs near you
Infographic showing various Generative Ai Phd job openings in Springfield, MA as of June 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,144 per year, or $56.3 per hour.

Senior Applied AI Engineer

ISO New England, Inc.

Holyoke, MA • On-site

$141K - $171K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England's ongoing transition to clean energy.
Are you ready to lead the application of AI in power systems? ISO New England's Advanced Technology Solutions (ATS) department, the R&D engine driving innovation across the region's power grid and the industry, is seeking a Senior Applied AI Engineer to support our Grid AI Innovation initiative. This is a unique opportunity to bridge cutting-edge artificial intelligence with mission-critical power system challenges and shape the future of grid reliability and resilience.
As a Senior Applied AI Engineer, you will operate at the intersection of power systems engineering and enterprise AI. You will design, develop, and deploy production-grade AI solutions, including generative AI and agent-based systems that directly impact New England's energy infrastructure. You'll collaborate with stakeholders across Operations, Planning, Markets, and IT to identify high-value use cases, architect scalable solutions, and ensure responsible AI practices throughout the lifecycle. This role is perfect for someone who combines deep technical expertise in both power systems and modern AI technologies.
What we offer you:
  • A stable, mission-driven workplace where your impact truly matters
  • A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing
  • Competitive compensation with a base salary + performance bonus
  • Robust benefits package, including:
    • Enhanced 401(k) and financial planning support
    • Tuition reimbursement and professional development
    • Wellness programs, including an onsite gym
    • Flexible work hours
    • Employee Business Networks
    • Free coffee at our onsite café
  • Hybrid work environment (3 days/week onsite)
  • Distance-based relocation assistance available

How you will make an Impact
  • AI Solution Development: Design and deploy advanced AI/ML solutions to solve complex engineering and business problems, including grid planning workflow automation and AI-powered decision-support systems
  • Cloud & Scalable Computing: Leverage cloud platforms to support large-scale power system simulations and AI/ML workloads
  • Internal Consulting & Solution Delivery: Partner with business units (Operations, Planning, Markets, IT) to analyze business needs, design and prototype solutions, and drive production deployment of scalable AI systems.
  • External Collaboration: Engage with leading research organizations (EPRI, DOE National Labs, PSERC, CURENT) and industry partners to advance innovation and adopt emerging technologies
  • Innovation & Use Case Development: Identify new opportunities for AI adoption, develop prototypes, and translate emerging technologies into practical applications for grid operations and planning

What we are looking for
  • Master's Degree in Electrical Engineering, Computer Science, or a related field with focus on power systems and artificial intelligence. PhD is preferred.
  • 3+ years of experience in power system operations, planning, or engineering, with demonstrated understanding of RTO/ISO business processes and challenges
  • 3+ years of hands-on experience developing and deploying AI/ML solutions in production settings
  • Knowledge and user experience in cloud platforms such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
  • Strong software engineering skills (Python, data pipelines, version control, etc.)
  • Excellent analytical, problem-solving, and communication skills with ability to translate complex technical concepts for non-technical stakeholders
  • Preferred Qualifications
  • Experience with power system simulation tools (e.g., PSS®E, PSCAD, PowerWorld, DSATools)
  • Experience with generative AI and LLM-based applications (e.g., RAG, tool use, agent frameworks)
  • Familiarity with agent-based architectures, orchestration frameworks, and multi-agent system design
  • Understanding of MLOps practices (CI/CD, model monitoring, data pipelines)

The expected salary range for this position is $141,000 - $171,000 per year. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.
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This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.
Equal Opportunity: We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.

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