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Applied Ai Engineer Jobs in Springfield, MA (NOW HIRING)

Deloitte

Lead Applied AI Engineer II

Hartford, CT

$103K - $136K/yr

Lead Applied AI Engineer II Role Overview: As a Lead Applied AI Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your ...

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MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

AI Engineer | Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The ... The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and ...

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The Hartford

AI Machine Learning Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to ...

MassMutual

Lead AI Engineer

Springfield, MA · On-site

$172K - $225K/yr

The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and ... This team is defined by a shared commitment to scientific and engineering excellence, meaningful ...

New

The Hartford

Sr AI Machine Learning Engineer

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to ...

The Hartford

AVP Applied AI, Claims

Hartford, CT · Hybrid

The Hartford is hiring an AVP leading Applied AI for the Claims organization. This leader will play ... Lead and develop senior leaders and teams (e.g., asset owners, data engineers, data scientists, ML ...

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Springfield, MA

Applied Ai Engineer information

What is the salary of applied AI engineer?

The salary of an applied AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning, deep learning, or specific tools may offer higher compensation.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as an Applied AI Engineer, and why are they important?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation including salary, bonuses, and stock options that total around this amount. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in AI projects.

What are some common challenges Applied AI Engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.
What job categories do people searching Applied Ai Engineer jobs in Springfield, MA look for? The top searched job categories for Applied Ai Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Applied Ai Engineer jobs? Cities near Springfield, MA with the most Applied Ai Engineer job openings:
Applied Ai Engineer jobs near you
Senior Applied AI Engineer

Senior Applied AI Engineer

ISO New England, Inc.

Holyoke, MA • On-site

$141K - $171K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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.
#LI-HYBRID
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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