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Remote Artificial Intelligence Engineer Jobs in Springfield, MA

1 point system

AI/ML Engineer

Hartford, CT · Remote

This must include 3 years of experience in data science or artificial intelligence. Technical Skills: * Expert-level programming skills in Python/PySpark and Java. * Experience building user ...

Sun Life Financial

Senior Operational Engineer

Hartford, CT · Remote

$105K - $144K/yr

Identify opportunities to leverage artificial intelligence, automation, and cloud-native services ... Experience working within Agile delivery frameworks and collaborating with distributed or remote ...

Sun Life Financial

Senior Operational Engineer

Hartford, CT · Remote

$105K - $144K/yr

Identify opportunities to leverage artificial intelligence, automation, and cloud-native services ... Experience working within Agile delivery frameworks and collaborating with distributed or remote ...

The Hartford

Lead Staff AI Data Engineer

Hartford, CT · On-site +1

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ... Bachelor's degree in Computer Science, Artificial Intelligence, or a related field * 8+ years of ...

Oscar Health

Director, Internal Audit

Hartford, CT · Remote

$180K - $236K/yr

This is a remote position, open to candidates who reside in: Hartford, CT. You will be fully remote ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Dutch

Virtual Care Veterinarian (Remote)

Springfield, MA · Remote

$50 - $80/hr

This is a flexible, remote opportunity ideal for veterinarians looking to pick up additional work ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

MassMutual

Information Security Analyst

Springfield, MA · Remote

$137K - $180K/yr

... Artificial Intelligence models to enhance SOC capabilities. * 2 + years experience writing in ... LI-Remote MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

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Remote Artificial Intelligence Engineer information

See Springfield, MA salary details

$38K

$99K

$133.8K

How much do remote artificial intelligence engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote artificial intelligence engineer in Springfield, MA is $99,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $113,400.00 per year, depending on experience, location, and employer.

What does a remote artificial intelligence engineer do?

A Remote Artificial Intelligence Engineer designs, develops, and implements AI models and systems while working from a location outside of a traditional office. Their responsibilities include building machine learning algorithms, analyzing large datasets, optimizing AI solutions, and collaborating with teams virtually. They may work on projects such as natural language processing, computer vision, or predictive analytics, often using programming languages like Python or frameworks like TensorFlow. Remote AI Engineers use digital communication tools to coordinate with colleagues and deliver innovative AI-powered solutions across various industries.

How does a remote artificial intelligence engineer typically collaborate with cross-functional teams?

Remote Artificial Intelligence Engineers frequently work with data scientists, software developers, and product managers through virtual meetings, collaborative platforms, and shared project management tools. Clear communication and documentation are essential to ensure alignment on project goals, data requirements, and deployment timelines. Regular check-ins and agile workflows help bridge the gap of physical distance, making teamwork efficient even when team members are spread across different locations.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence engineer, and why are they important?

To thrive as a Remote Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Excellent problem-solving, communication, and self-management skills help you collaborate effectively with distributed teams and manage projects independently. These abilities are crucial for developing innovative AI solutions and ensuring smooth teamwork in a remote work environment.

What is the difference between Remote Artificial Intelligence Engineer vs Remote Data Scientist?

AspectRemote Artificial Intelligence EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and systems remotelyAnalyzes data, builds predictive models remotely
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research organizations

Remote Artificial Intelligence Engineers focus on developing AI systems and algorithms, while Remote Data Scientists analyze data to generate insights. Both roles often require similar educational backgrounds and work remotely in tech-driven industries, but their core responsibilities differ in AI development versus data analysis.

Can you work remotely as a remote artificial intelligence engineer?

Yes, many artificial intelligence engineers work remotely, especially those involved in software development, data analysis, and model training, which can often be done from any location with a stable internet connection. Remote AI engineering roles typically require strong programming skills, knowledge of machine learning frameworks, and sometimes certifications, but they offer flexibility in work location and schedule.

How much do remote artificial intelligence engineers make?

Remote artificial intelligence engineers typically earn between $80,000 and $150,000 annually, depending on experience, skills, and the complexity of projects. Senior roles or those with specialized expertise in machine learning, deep learning, or specific tools may offer higher salaries, especially in competitive markets.

Is a remote artificial intelligence engineer still in demand?

Remote artificial intelligence engineers are currently in high demand due to the growing adoption of AI technologies across industries. Skills in machine learning, deep learning, and programming languages like Python are highly valued, and remote work options are increasingly available for qualified candidates.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Springfield, MA?

The most popular types of Artificial Intelligence Engineer jobs in Springfield, MA are:

What are popular job titles related to Remote Artificial Intelligence Engineer jobs in Springfield, MA?

For Remote Artificial Intelligence Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Artificial Intelligence Engineer jobs in Springfield, MA look for?

The top searched job categories for Remote Artificial Intelligence Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Artificial Intelligence Engineer jobs?

Cities near Springfield, MA with the most Remote Artificial Intelligence Engineer job openings:

Remote Artificial Intelligence Engineer jobs near you
Infographic showing various Remote Artificial Intelligence Engineer job openings in Springfield, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $101,396 per year, or $48.7 per hour.

AI/ML Engineer

Hartford, CT • Remote

1 point system
51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Posted 6 days ago

Job description

Role Overview

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

  • Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
  • Guide the architecture, infrastructure, tools, and processes for AI/ML products.
  • Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
  • Implement GraphRag in AI/ML products deployed to production to improve LLM response.
  • Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
  • Standardize, optimize, and scale products in production environments.
  • Develop rapid prototypes to experiment and evaluate feasibility.
  • Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.

Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.

Technical Skills:

  • Expert-level programming skills in Python/PySpark and Java.
  • Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
  • Experience with public cloud platforms, ideally Azure.
  • Proficiency with containerization and DevSecOps practices.
  • Experience working with semi-structured file formats and NoSQL databases.
  • Understanding of API design, development, and production deployment at scale.
  • Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
  • Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

  • Experience in the healthcare industry.
  • Knowledge of medical terminology and clinical workflows.
  • Contributions to open-source AI/ML projects.
  • A Master's degree.