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Ai Rag Jobs in Springfield, MA (NOW HIRING)

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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 10, 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:

Ai Rag jobs near you
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.

Lead Architect , AI Solutions Architecture - EDDA

Hartford, CT • On-site

The Travelers Indemnity Company
10K+ employees
Learn more about The Travelers Indemnity Companyexternal

$169K - $279K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 18 hours ago

Job description

Compensation Overview

The annual base salary range for this position is $169,400.00 - $279,600.00. Salary will be determined by factors such as scope, complexity, location, skills, education, training, credentials, experience, and other conditions of employment. Employees are also eligible for performance‑based cash incentive awards.

What Is the Opportunity?

Collaborative Environment, Transformational Projects, and a Growing Team!

As a Lead Architect, you will collaborate with senior Technology and Business leaders, apply your deep technical proficiency and visionary thinking to architect AI systems that drive business value while maintaining ethical standards.

Responsibilities
  • Scope: Responsible for architecture for multiple technology and/or business segments/domains for a single business unit.
  • Technical Execution: Define and lead technology proof of concepts to ensure feasibility of architecture solutions.
  • Proactively identify opportunities to capitalize on technology advances through analysis of key industry and technology trends.
  • Drive continuous technology transformation to minimize technical debt.
  • Conduct hands‑on prototyping of new technology solutions.
  • Partner with Technology and Business leadership to ensure proper alignment with technology direction and execution of proof of technologies.
  • Strategic Accountability: Provide strong thought leadership in pursuit of modern architecture principles and technology modernization.
  • Engage with senior leaders to develop architecture priorities and direction to enable business imperatives and gain buy‑in.
  • Prepare and deliver communications to convey architectural direction.
  • Drive strategic relationships and champion organizational buy‑in.
  • Perform other duties as assigned.
Qualifications
  • Bachelor’s degree in technology‑related field or equivalent, with 8 to 10 years of architecture experience.
  • Advanced level architecture and recent hands‑on strong engineering experience with modern technologies.
  • Successful execution of complex, large‑scale technology strategies.
  • Advanced leadership skills with ability to collaborate across functions and influence architecture and engineering leaders.
  • Extensive experience in an agile operational model and supporting transformational change.
  • Experience developing technology target states and roadmaps aligned to business goals.
  • Insurance technology experience preferred.
  • Strong understanding of value creation and business capability models and the insurance industry.
  • Advanced and effective verbal, written, and listening communication skills.
AI Expertise
  • Proven track record defining scalable, production‑grade AI systems, including distributed and parallel processing architectures.
  • Hands‑on expertise in AI/ML development and deployment, with deep knowledge of ML algorithms, neural network architectures, and optimization techniques.
  • Strong mathematical foundation in linear algebra, statistics, and probability theory.
  • Experience with MLOps & AI Ops practices and CI/CD pipelines for AI/ML systems.
  • Hands‑on experience with agentic coding tools such as Claude Enterprise, OpenAI Codex, and GitHub Copilot.
  • Hands‑on experience with Generative AI foundations—transformer architectures, LLMs, diffusion models, VAEs, GANs, prompt engineering, fine‑tuning, and RLHF.
  • Experience with multimodal AI systems.
  • Experience building autonomous AI systems with planning and reasoning capabilities, including reinforcement learning and decision‑making frameworks.
  • Hands‑on experience with agentic patterns—tool use, function calling, API integration, memory systems, RAG, vector databases, and multi‑agent orchestration.
  • Hands‑on or working experience with agent orchestration frameworks (LangChain, Strands, Crew AI) and protocols including MCP and Agent2Agent.
  • Deep experience with cloud AI services such as AWS Bedrock (including optional Azure Foundry/Agent 365 or GCP/Gemini AI), including SaaS AI and agentic capabilities.
  • Knowledge of AI ethics, bias mitigation, responsible AI practices, and regulatory frameworks (EU AI Act, GDPR).
  • Experience with AI governance frameworks and model risk management.
Must Have
  • Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 7 additional years of architecture/software engineering experience.
  • 2 years of technical leadership experience.
Benefits
  • Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
  • Retirement: Travelers matches your 401(k) contributions dollar‑for‑dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company holidays.
  • Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement: Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

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