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Ai Applications Engineer Jobs in Springfield, MA

Deloitte

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Master's degree in technology-related discipline. * 2+ years's leading high performance, results driven engineering teams delivering AI platforms or applications. * 1+ year implementing LLMOps/MLOps ...

Pwc

CTIO AI Engineering Manager

Hartford, CT · On-site

$73K - $244K/yr

Responsibilities - Work with cross-functional teams to incorporate AI into various applications ... engineering or related field What Sets You Apart - Master's Degree in Computer Engineering, Data ...

Prophecy Technologies

AI/ML Engineer

Hartford, CT · On-site

We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM ... Build RAG applications using embeddings, vector databases, and prompt engineering techniques.

MassMutual

Lead AI Engineer

Springfield, MA · On-site

$172K - $225K/yr

... applications, and establishing team-wide best practices in AI development and responsible AI ... Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that ...

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 ... applications (e.g., intelligent interfaces, dashboards, automated pipelines). * Apply best ...

CVS Health

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

We are seeking an experienced AI / LLM Engineer to design, develop, and operationalize advanced ... Design and implement LLM-powered applications that support complex, text-based reasoning and ...

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Showing results 21-40

All JobsAi Applications Engineer JobsAi Applications Engineer Jobs in Springfield, MA

Ai Applications Engineer information

See Springfield, MA salary details

$50.3K

$110.3K

$151.5K

How much do ai applications engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for ai applications engineer in Springfield, MA is $110,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $134,500.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

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

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What are popular job titles related to Ai Applications Engineer jobs in Springfield, MA?

For Ai Applications Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Ai Applications Engineer jobs in Springfield, MA look for?

The top searched job categories for Ai Applications Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Ai Applications Engineer jobs?

Cities near Springfield, MA with the most Ai Applications Engineer job openings:

Ai Applications Engineer jobs near you
Infographic showing various Ai Applications Engineer job openings in Springfield, MA as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $110,311 per year, or $53 per hour.

Senior Cyber Security Analyst - Cloud, DevSecOps & AI Security

ISO New England

Holyoke, MA • On-site

$98K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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.
ISO New England is seeking an experienced Cyber Security Analyst to support and enhance enterprise cloud, infrastructure, AI, and DevSecOps security initiatives. This role is responsible for proactively identifying vulnerabilities, compliance gaps, misconfigurations, and security risks across enterprise systems, cloud platforms, AI/ML environments, CI/CD pipelines, and regulated CIP environments.
The ideal candidate will have strong experience in cloud security, vulnerability management, DevSecOps, AI security, and security compliance, with the ability to collaborate across technical teams to implement and maintain enterprise security standards.
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 caf
  • Hybrid work environment (3 days/week onsite)
  • Distance-based relocation assistance available

How you will make an Impact
  • Conduct cloud security assessments across AWS and Azure environments, including CSPM, CIEM, IAM, and container security reviews.
  • Integrate and support security controls within CI/CD pipelines and DevSecOps environments.
  • Assess and secure AI/ML systems, generative AI applications, and AI-enabled business solutions throughout their lifecycle.
  • Evaluate risks associated with AI model usage, training data, third-party AI services, and Large Language Model (LLM) integrations.
  • Implement AI governance controls to protect sensitive data and prevent unauthorized disclosure through AI platforms.
  • Develop security guardrails for AI adoption, including data classification, access controls, prompt security, and responsible AI usage.
  • Perform AI threat modeling to identify risks such as prompt injection, data poisoning, model manipulation, model theft, and insecure AI integrations.
  • Perform vulnerability assessments, configuration reviews, and remediation tracking across enterprise and CIP systems.
  • Review and validate baseline configurations, logging requirements, and compliance controls.
  • Evaluate network topology and infrastructure changes to determine CIP impact and SOC visibility requirements.
  • Partner with application development, cloud platform engineering, infrastructure, enterprise architecture, IAM, network, SOC, and business teams to integrate security into system design, projects, and operational processes.
  • Support phishing simulations, security awareness initiatives, AI security awareness training, and audit evidence collection.
  • Provide security recommendations and risk mitigation strategies for cloud, AI, and enterprise environments.
  • Support and maintain enterprise security platforms including CNAPP, EDR, vulnerability management, SIEM, DSPM, and cloud security monitoring tools.
  • Monitor evolving AI security risks, industry standards, and regulatory requirements.

What we are looking for
  • Experience in cybersecurity, cloud security, security engineering, or AI security roles.
  • Experience with AWS and/or Azure cloud platforms.
  • Experience with container orchestration technologies including Amazon ECS and Amazon EKS.
  • Experience implementing security controls within CI/CD and DevSecOps environments.
  • Knowledge of AI security concepts, including securing generative AI applications, LLMs, AI governance, and AI risk management.
  • Familiarity with AI threats such as prompt injection, data leakage, model poisoning, model theft, and insecure AI APIs.
  • Knowledge of vulnerability management, cloud security, IAM, CSPM, and configuration management practices.
  • Experience with security monitoring and logging platforms.
  • Familiarity with Terraform, infrastructure-as-code, and policy governance frameworks such as OPA.
  • Understanding of data governance, data protection, and responsible AI principles.
  • Strong analytical, troubleshooting, communication, and collaboration skills.
  • Self-starter with the ability to work independently in a fast-paced environment.

Desired not required
  • Bachelor's degree in information technology, Cybersecurity, Computer Science, or related field.
  • Advanced degree such as a Master's in Cybersecurity Management, Information Assurance, Artificial Intelligence, or related fields.
  • Industry cybersecurity, cloud security, and AI security certifications preferred, including:
  • ISC2 Certified Information Systems Security Professional (CISSP)
  • ISACA Certified Information Security Manager (CISM)
  • Amazon Web Services Certified Security - Specialty
  • Microsoft Azure Security Engineer Associate (AZ-500)
  • ISC2 Certified in AI Security (when available)
  • OWASP AI Security and LLM Security knowledge/training

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).
The expected salary range for this position is $127,000 - $150,000per 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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