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Ai Rag Jobs in Deerfield, IL (NOW HIRING)

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

This role focuses on defining and implementing foundational elements for AI adoption - Architecture patterns (Gen-AI, RAG, MCP, Agentic workflows etc.), tooling, process & governance in collaboration ...

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

Contact Center Solution Architect

Chicago, IL · Remote

$65 - $85.50/hr

Orchestration of solutions designs involving above + Middleware + end data system /generative AI+RAG * 8+ years of hands on technical experience in Contact Center & CX platforms * 8+ years of ...

Data & AI Architect

Elmhurst, IL · On-site

$63.50 - $81.75/hr

This role focuses on defining and implementing foundational elements for AI adoption - Architecture patterns (Gen-AI, RAG, MCP, Agentic workflows etc.), tooling, process & governance in collaboration ...

Senior Cloud Engineer AI

Chicago, IL · On-site

$81K - $151K/yr

Azure Machine Learning, Azure OpenAI, Azure AI Foundry • Experience building MLOps platforms and automated ML pipelines • Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG ...

AI Developer

Mettawa, IL · On-site

$80/hr

Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment. * Knowledge Graph Development: Design, develop, and maintain ...

Senior Cloud Engineer AI

Chicago, IL · On-site

$81K - $151K/yr

Azure Machine Learning, Azure OpenAI, Azure AI Foundry • Experience building MLOps platforms and automated ML pipelines • Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG ...

Azure Machine Learning, Azure OpenAI, Azure AI Foundry Experience building MLOps platforms and automated ML pipelines Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval ...

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment. * Knowledge Graph Development: Design, develop, and maintain ...

AI Lead

Chicago, IL · On-site

$144K - $177K/yr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

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Ai Rag information

See Deerfield, IL salary details

$32.5K

$59.2K

$84.9K

How much do ai rag jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai rag in Deerfield, IL is $59,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $66,100.00 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 cities near Deerfield, IL are hiring for Ai Rag jobs? Cities near Deerfield, IL with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Deerfield, IL as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $59,232 per year, or $28.5 per hour.

$63.50 - $81.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Gerber Collision & Glass rating

6.9

Company rating: 6.9 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

179th of 363 rated vehicle maintenance


Job description

Company: Gerber Collision & Glass

Great Teams Don’t Happen by Accident

Built with Intent. Driven by YOU.

At the Boyd Group, our teams work to provide the elite infrastructure and supportive environment you need to Be the Best and outperform at every touchpoint in collision and glass services. As we continue to grow and lead the industry, we ensure you have the resources and the team behind you to move your career forward.


Ready to grow with a team that’s built for your success? Apply today.


Our Commitment:

The Boyd Group welcomes unique talents from all backgrounds and characteristics. We act with integrity and appreciate the diverse perspectives that make our "Greater Team" exceptional. Qualified individuals, including those with disabilities and Protected Veterans, are encouraged to apply.


Job Description:

Job Summary 

The AI & Data Architect is a high-impact role responsible for accelerating our AI maturity and optimizing the data ecosystem that supports it. This role focuses on defining and implementing foundational elements for AI adoption - Architecture patterns (Gen-AI, RAG, MCP, Agentic workflows etc.), tooling, process & governance in collaboration with other stakeholders. This role will be key contributor to broad architecture of high-performance Data & BI platforms and solutions, ensuring Data platforms are key enablers of AI adoption journey

The role reports to the Head of Ent. Architecture and is responsible for working very collaboratively with the Head of Data & BI platform, in order to develop and implement a coherent AI & data strategy.

Key Job Responsibilities 

Strategy, Roadmap & Innovation
  • Strategy: In collaboration with Head of Enterprise Architecture, Data Engineering and BI  to develop and execute AI & Data Strategy,  in ensuring technical goals align with broader business objectives.
  • Roadmap Development: Build and maintain a multi-year AI/Data Roadmap, identifying key milestones for capability maturity, tool adoption, and infrastructure upgrades.
  • AI Solution Design: Design and implement architectural patterns for Generative AI, including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and Agentic AI frameworks.
  • Innovation & Modern DevEx: Explore the impact of AI on the software lifecycle, including AI-driven testing and emerging trends like "Vibe Coding" to accelerate development velocity.
  • Prototyping & PoCs: Lead Proof-of-Concept projects to evaluate new AI tools and techniques, moving successful experiments into production-ready environments.
Data Platform & Governance
  • Modern Data Stack: Help define the evolution of the Data Platform architecture (AWS data ecosystem - S3, Lake Formation, Redshift, Airflow, Lambda) to ensure it is performant and "AI-ready."
  • Architecture Governance: Define and enforce best practices for AI security, prompt engineering standards, and the ethical use of machine learning models.
  • Pipeline Architecture: Design scalable ETL/ELT pipelines and data modeling strategies that support both real-time AI needs and historical BI reporting.
  • BI Optimization: Oversee the architectural health of our BI layers (e.g., Domo) to ensure dashboards and self-service analytics are powered by clean, governed data.

Minimum Education and/or Experience Required for the Job

  • AI Expertise: 2–3 years of hands-on experience with AI/ML implementations, focusing on GenAI patterns and LLM orchestration.
  • Data Engineering: 5+ years of experience in data architecture or engineering, with deep knowledge of data warehousing, lakehouses, and distributed processing.
  • Cloud & Tools: Strong proficiency in the AWS Data Stack, Python, and SQL.
  • Collaborative Execution: Ability to work with engineering teams to build the "plumbing" while working with business stakeholders to deliver the "intelligence."

Required Knowledge, Skills, & Abilities

  • Industry Knowledge:  awareness of the top AI solution providers and the rapidly evolving ecosystem of LLM providers and AI startups.
  • Advanced AI Patterns: Familiarity with AI-driven Software Development Life Cycle (SDLC) enhancements and testing automation.
  • Data & BI Ecosystem: Knowledge of leading platforms beyond the core stack, including: Data Platforms: Snowflake, Databricks, or Azure Data Lake, BI Tools: Power BI, Tableau, or Qlik.
  • Emerging Trends: Understanding of the shift toward natural language programming/orchestration (e.g., Vibe Coding) and standardized context sharing (MCP).
 

Preferred Education and/or Experience

  • Strategic Influence: You won't just execute; you will help the Head of EA build the foundational strategy and roadmap for the entire department.
  • Innovation-First: You are encouraged to stay at the forefront of AI, implementing cutting-edge protocols like MCP and Agentic systems.
  • Career Growth: This role offers a direct path to senior architectural leadership through high-visibility projects and executive-level collaboration.
 

Please note, this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The physical demands of your job must be met to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the job. 

Benefits That Drive Your Success
Gerber offers the comprehensive benefits you expect from an industry leader, including:

  • Annual Paid Time Off (PTO) plans

  • 2 weeks of Paid Parental Leave for Full time Employees who work a minimum of 30 hours per week

  • 6 paid holidays annually

  • Medical, Prescription Drug, Dental & Vision Insurance effective Day 1

  • 401(k) Retirement Plan with company match

  • Employer Paid Short-Term Disability & Life Insurance

  • Additional Voluntary Life Insurance

  • Continuing Education Opportunities

  • Free Prescription or Non-Prescription Safety Glasses annually

  • Annual Voluntary Uniform Stipend

  • Voluntary Daily Pay option available 

About Us
Gerber Collision & Glass has been WOWing customers with our collision repair services for over 80 years. Please visit gerbercareers.com to learn more about our company.

AI Disclosure Statement:
At The Boyd Group and all affiliated companies, we do not use artificial intelligence (AI) or automated tools to screen, assess, or select applicants for employment. All hiring decisions are made by real people who review each application individually.

Compensation Details:

$145,000 - $160,000 / Year

Compensation is commensurate with skill, education and experience. 

Supplemental Pay: 

This position may also be eligible for Bonus opportunities tied to individual or business initiatives.

Benefits That Drive Your Success

Gerber offers the comprehensive benefits you expect from an industry leader, including:

  • Flexible PTO Plan
  • 2 weeks of paid parental leave for Full Time employees who work a minimum of 30 hour per week
  • 6 paid holidays annually 
  • Medical, Prescription Drug, Dental & Vision Insurance
  • 401(k) Retirement Plan with company match
  • Employer Paid Short-Term Disability & Life Insurance
  • Additional Voluntary Life Insurance
  • Continuing Education Opportunities
  • Free prescription or non prescription safety glasses each year
  • Annual Voluntary Uniform Stipend

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