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Ai Rag Jobs in Avon, CT (NOW HIRING)

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$31.5K

$57.3K

$82.2K

How much do ai rag jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai rag in Avon, CT is $57,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $64,000.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Ai Rag jobs in Avon, CT look for? The top searched job categories for Ai Rag jobs in Avon, CT are:
What cities near Avon, CT are hiring for Ai Rag jobs? Cities near Avon, CT with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Avon, CT as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $57,310 per year, or $27.6 per hour.

Lead Architect , AI Solutions Architecture - PI

Travelers

Hartford, CT • On-site

Full-time

Re-posted 4 days ago

Travelers Insurance rating

8.9

Company rating: 8.9 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

49th of 301 rated insurance

Job description

Job Summary:
Travelers is a well-established property casualty insurer with a strong commitment to innovation and collaboration. They are seeking a Lead Architect to join their AI and Emerging Technology Architecture team, where the successful candidate will leverage their expertise in AI systems to drive business value and ensure ethical standards in technology solutions.
Responsibilities:
• Apply your hands-on expertise in AI/ML, Generative AI, and Agentic AI systems — including autonomous agent design, multi-agent orchestration frameworks (LangChain, Strands, Crew AI), Model Context Protocol (MCP), and Agent2Agent integration — to architect scalable, production-grade AI solutions across the enterprise
• Provide consulting expertise to division and domain architects, driving architecture alignment across lines of business and serving as a champion for establishing an enterprise AI solutions architecture practice
• Align AI platform capabilities to the strategic needs of business groups — spanning LLM selection and routing, RAG pipelines, memory systems, and tool/function-calling patterns — while promoting reusability, interoperability, and responsible AI design
• Help establish governance, risk, and control processes that ensure safe, compliant, and sustainable AI deployments, informed by frameworks such as the EU AI Act, GDPR, NAIC, and NIST AI RMF, and grounded in strong AI ethics and bias mitigation principles
• Demonstrate a strong passion for tracking and communicating the evolving AI platform roadmap — spanning foundation models, agentic frameworks, and emerging autonomous systems — while surfacing competitive landscape insights and highlighting opportunities and challenges that complement enterprise initiatives
• Bring strong collaboration, communication, and mentoring skills to bridge complex AI concepts for non-technical stakeholders, build consensus across diverse teams, and foster a knowledge-sharing culture within the architecture community
• Responsible for architecture for multiple technology and or/ business segments/domains for a single business unit
• 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 to assess potential impact on the enterprise
• 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
• Provide strong thought leadership in pursuit of modern architecture principles and technology modernization
• Engage with the senior leadership within Technology and Business 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:
Required:
• 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 the ability to leverage cross-functional networks to collaborate with architecture and engineering leaders on problem-solving, build company-wide credibility, prioritize critical architectural challenges, and strengthen the Architecture organization through knowledge sharing, mentoring, and creating development opportunities for team members.
• Extensive experience working in an agile operational model.
• Advanced experience supporting transformational change. Able to adjust plans, priorities and strategies in response to changing circumstances.
• Experience developing technology target states and roadmaps that align to short- and long-term business goals.
• Strong understanding of value creation and business capability models.
• Strong knowledge of the insurance industry.
• Advanced experience identifying and analyzing current/future problems and opportunities, evaluating information to understand root causes, and exploring alternative solutions for effective decision-making.
• Proven ability to work collaboratively with colleagues to achieve mutually responsible results.
• Extensive experience exercising sound judgment, making decisions and committing to a position.
• Advanced and effective verbal, written and listening communication skills.
• 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, supporting rigorous model design and evaluation.
• 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/CLI/Code, OpenAI Codex, and GitHub Copilot.
• Hands-on experience with Generative AI foundation — including 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-agentic orchestration.
• Hands-on or working experience with agent orchestration frameworks (LangChain, Strands, Crew AI) and protocols including MCP and Agent2Agent.
• 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.
• 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.
Preferred:
• Insurance technology experience preferred.
• Deep experience with cloud AI services AWS Bedrock including AgentCore (optional: Azure Foundry/Agent 365, or GCP/Gemini AI)
Company:
Travelers is an Insurance company. Founded in 1853, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Travelers Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Travelers

Sourced by ZipRecruiter

We are an insurance company that cares. Travelers takes on the risk and provides the coverage you need to protect the things that are important to you — your home, your car, your valuables and your business — so you don’t have to worry. We have been around for more than 165 years and have earned a reputation as one of the best property casualty insurers in the industry because we take care of our customers. Our expertise and focus on innovation have made us a leader in personal, business and specialty insurance and the only property casualty company in the Dow Jones Industrial Average. Every day, our approximately 30,000 employees and 13,500 independent agents and brokers in the United States, Canada, the United Kingdom and Ireland help provide peace of mind to our customers.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1853

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