1

Ai Rag Jobs in Springfield, MA (NOW HIRING)

... RAG and Knowledge-Based AI Solutions • Intermediate experience with Cloud Platform (GCP, AWS) and hands-on cloud experience • Intermediate experience with MLOps, DevOps, and Deployment • Agile ...

Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and ... Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk ...

Agentic AI Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

Experience in Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search * Experience in workflow automation, document intelligence, and AI copilots

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

RAG (Retrieval-Augmented Generation) AI Agents / Agentic frameworks Prompt Engineering Preferred Skill and Experience Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing ...

RAG (Retrieval-Augmented Generation) AI Agents / Agentic frameworks Prompt Engineering Proficiency with Microsoft Azure AI ecosystem Preferred Skill and Experience Experience building Copilot or AI ...

Leveraging Infosys' applied AI framework, Topaz empowers users to deliver cognitive solutions that ... Experience in building and optimizing RAG pipelines with hybrid retrieval, semantic chunking, and ...

... RAG pipelines with hybrid retrieval, semantic chunking, and vector search. Preferred Skill and ... Overview Infosys Topaz is an AI-first suite of services, solutions, and platforms designed to ...

Agentic AI Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

Required Skill and Experience • Experience in Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search • Experience in workflow automation, document ...

Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Experience ...

Associate AI Solution Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

NET. * Experience managing small on and offshore teams. * 1+ years' experience designing and delivering production-grade AI solutions such as LLM applications, RAG systems, agentic workflows ...

Showing results 21-40

Ai Rag information

See Springfield, MA salary details

$31.9K

$58K

$83.2K

How much do ai rag jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai rag in Springfield, MA is $58,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $64,800.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

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

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

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

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

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

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

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

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

Infographic showing various Ai Rag job openings in Springfield, MA as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $58,042 per year, or $27.9 per hour.

Sr AI/ML Engineer Remote Nationwide or Hybrid in MN or DC or CT

Hartford, CT • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

$105K - $144K/yr

Full-time

Retirement

Re-posted 5 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

194th of 898 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Join our dynamic software development team within UHC E&I Technology, where you will contribute to the design and delivery of AI-enabled solutions supporting Sales and Distribution modernization. In this role, you will focus on building and enhancing scalable components for sales workflows, distribution platforms, API integrations, and automation pipelines, leveraging cutting-edge AI-driven and agentic workflow capabilities. As a Senior AI/ML Engineer, you will develop and deploy machine learning models, generative AI solutions, and Retrieval-Augmented Generation (RAG)-based systems that improve sales intelligence, operational efficiency, and decision-making across our employer, broker, and enrollment ecosystems. This is an exciting opportunity to work with innovative technology, translate business requirements into enterprise-grade technical solutions, and ensure high performance, reliability, and security within a collaborative, global team.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.  

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


This position is remote nationwide or hybrid in MN or DC or CT

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Evaluate emerging trends to inform solution design and strategic innovation
  • Contribute to the design and delivery of AI-enabled solutions supporting Sales and Distribution modernization, including integration across employer, broker, and enrollment ecosystems
  • Build and enhance scalable components for sales workflows, distribution platforms, API integrations, and automation pipelines, including AI-driven and agentic workflow capabilities
  • Develop and deploy machine learning models, generative AI solutions, and retrieval-augmented generation (RAG) systems that improve sales intelligence, operational efficiency, and decision-making
  • Support system performance, reliability, and scalability, and contribute to model evaluation and monitoring
  • Ensure adherence to enterprise Responsible AI principles, governance, and security/compliance standards
  • Collaborate with cross-functional and offshore development teams, participate in design and code reviews, and drive high-quality execution within defined project scope

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 

Required Qualifications:

  • Bachelor's degree or 4 years of equivalent software engineering experience
  • 8 years of professional experience in software engineering
  • 2 years of hands-on experience building, deploying, and maintaining AI/ML systems in production environments
  • 2 years of experience in enterprise application development, including API integrations and microservices architectures
  • Working experience with Generative AI models (e.g., GPT-based models), Retrieval-Augmented Generation (RAG) pipelines, or agentic workflow frameworks
  • Required Qualification: Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status).

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field
  • Practical experience with model evaluation, performance monitoring, and MLOps practices
  • Experience working in distributed or offshore team environments
  • Solid understanding of sales and distribution systems or enterprise platform integrations (including CRM, enrollment, or broker ecosystem integration patterns)
  • Familiarity with enterprise AI governance, Responsible AI principles, and security/compliance requirements
  • Proven solid problem-solving skills and the ability to translate business requirements into technical solutions
  • Proven excellent communication and collaboration skills in cross-functional environments

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.  

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  

#OptumTechPJ


What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom