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Ai Rag Jobs in Avon, CT (NOW HIRING)

Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems . Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

... RAG/assistants, and agentic workflow orchestration). * Be the senior business partner for Claims ... Accountable for AI governance and compliance-by-design across the Claims portfolio, partnering with ...

TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign ...

RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three ...

... RAG), and AI-powered assistants. • Basic familiarity with Microsoft Power Platform tools (Power Automate, Power Apps, Copilot Studio) is a plus but not required. • Strong knowledge of SQL Server ...

... RAG), and AI-powered assistants. · Basic familiarity with Microsoft Power Platform tools (Power Automate, Power Apps, Copilot Studio) is a plus but not required. · Strong knowledge of SQL Server or ...

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

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 ...

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

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Showing results 1-20

Ai Rag information

See Avon, CT salary details

$31.5K

$57.3K

$82.2K

How much do ai rag jobs pay per year?

As of Jul 16, 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, and why are they important?

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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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:
Infographic showing various Ai Rag job openings in Avon, CT as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% 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.
Agentic AI Developer

Agentic AI Developer

CGI Inc.

Hartford, CT • On-site

Full-time

Retirement, PTO

Posted 23 hours ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

134th of 210 rated it services


Job description

Agentic AI Developer
Category: Software Development/ Engineering
Main location: United States, Connecticut, Hartford
Position ID:J0626-1051
Employment Type: Full Time
U.S. - What we do matters
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Position Description:
The best version of us starts with You!
We CGI is seeking a highly skilled and experienced Agentic AI Engineer to join our Health Care client in one of our selected client locations. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest leaders in the Health Care industry.
This Senior AI Engineer will be instrumental to design, develop, and lead enterprise-grade Generative AI solutions. This role requires deep hands-on expertise in Python, Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and agent-based architectures.
The role will work closely with the AI Center of Excellence (AI CoE) to ensure alignment with enterprise AI standards, governance, and best practices while driving adoption across delivery teams.
This position is located on-site in Bloomfield, CT (Preferred), Raleigh, NC or Lafayette, LA in a Hybrid working Model.
Your future duties and responsibilities:
Technical Leadership & Architecture
. Lead the design and development of scalable Generative AI solutions using LLMs
. Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems
. Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture
. Mentor and guide developers on GenAI patterns, tools, and best practices
Development & Engineering
. Develop end-to-end AI solutions using Python
. Design, test, and optimize prompt engineering strategies
. Build and manage embeddings, vector search, and semantic retrieval pipelines
. Develop applications using LangChain and monitor, evaluate, and debug workflows using LangSmith
. Integrate LLMs with enterprise systems, APIs, and structured/unstructured data sources
. Implement agent-based and multi-agent workflows for task orchestration and automation
. Work with multimodal models involving text, documents, and images
Collaboration with AI CoE
. Work closely with the AI CoE to align on AI frameworks, reusable components, and architectural standards
. Contribute to enterprise GenAI accelerators, reference architectures, and best practices
. Support governance, security, responsible AI, and compliance requirements
. Share learnings, patterns, and improvements across teams to drive consistency and adoption
AI & LLM Expertise
. Apply deep understanding of LLM capabilities, limitations, and optimization techniques
. Implement techniques such as RAG, tool/function calling, memory, and agents
. Evaluate and recommend appropriate models (OpenAI, Azure OpenAI, open-source models)
. Ensure performance, scalability, cost optimization, and reliability of AI solutions
Required qualifications to be successful in this role:
At least 5+ years of professional software engineering experience, with strong hands-on expertise in Python or Java building scalable, production-grade applications.
. 2+ years in LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment.
. Strong experience developing GenAI applications using LangChain and implementing observability, evaluation, and debugging using LangSmith or equivalent tools.
. Demonstrated experience delivering enterprise Generative AI solutions, including design and implementation of RAG, agentic, and multi-agent architectures.
. Proven hands-on experience with LLMs, including prompt engineering, optimization, evaluation, and lifecycle management in production environments.
. Experience designing and managing embeddings and vector-based retrieval pipelines using industry-standard vector databases or search platforms.
. Experience integrating GenAI solutions with enterprise platforms, APIs, and data sources, including structured data, documents, and unstructured content.
. Hands-on experience implementing tool/function calling, memory, and agent orchestration to support complex workflows and automation use cases.
. Experience working with multimodal AI solutions involving text, documents, and images.
. Proven ability to evaluate, select, and operationalize LLMs (e.g., OpenAI, Azure OpenAI, open-source) with a focus on performance, scalability, cost, and reliability.
. Experience collaborating with an AI Center of Excellence (AI CoE) to align on enterprise standards, reference architectures, and reusable components.
. Strong understanding of AI governance, security, responsible AI, and compliance requirements in regulated enterprise environments.
. Demonstrated experience leading and mentoring engineering teams, reviewing designs, and establishing repeatable patterns and best practices.
Required: Python, LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment.
Expectations:
. Ability to quickly assess emerging GenAI technologies and apply them pragmatically within enterprise constraints.
. Proactive approach to architectural simplification, reuse, and optimization to drive scalability and long-term maintainability.
. Ownership mentality, with the ability to lead initiatives end-to-end, from solution design through production deployment and adoption.
. Commitment to driving consistency, quality, and governance across GenAI implementations through collaboration with delivery teams and the AI CoE.
Education:
Bachelor's degree in computer science or related field.
#LI-MP2
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $80,600 - $194,000.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs
#LI-MP2
#CGITECHJOBS
Skills:
  • Agentic RAG
  • Artificial Intelligence
  • Generative AI
  • LangChain
  • LangGraph
  • Python
  • SQL
  • Databricks HC&LifeScience(PS)
  • Python (Anaconda) AI/ML

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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