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Relational Ai Jobs in Addison, IL (NOW HIRING)

AI Technical Coach

Chicago, IL ยท On-site

$70 - $75/hr

Seeking a Principal AI-Native Enablement & Transformation Lead to spearhead the Organizational ... ie relational, NoSQL) and a modern SPA framework/architecture (ie React). Architectural ...

Senior AI Engineer

Chicago, IL ยท On-site

$140K - $180K/yr

... with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc. * 2 years demonstratable experience with Azure AI solution design and production delivery ...

Senior AI Engineer

Chicago, IL ยท On-site

$140K - $180K/yr

... with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc. * 2 years demonstratable experience with Azure AI solution design and production delivery ...

Senior AI Engineer

Chicago, IL ยท On-site

$140K - $180K/yr

... with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc. * 2 years demonstratable experience with Azure AI solution design and production delivery ...

Software Engineer II

Chicago, IL ยท On-site

$85 - $130/hr

... relational data systems and algorithms development. Top candidates will also have experience crafting code while leveraging AI tooling and embedding agentic workflows in their product. Why We're ...

AI/ ML Engineer

Northbrook, IL ยท On-site

$80 - $120/hr

We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a ... Experience with SQL and working with relational or NoSQL databases for data extraction and ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... HGNN/Relational GNNs), and knowledge-graph-augmented modeling. * Expertise in constructing and ...

Showing results 21-40

Relational Ai information

See Addison, IL salary details

$40.6K

$151.2K

$265.5K

How much do relational ai jobs pay per year?

As of Sep 7, 2026, the average yearly pay for relational ai in Addison, IL is $151,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $164,800.00 per year, depending on experience, location, and employer.

What is a Relational AI engineer?

A Relational AI Engineer is a professional who designs, develops, and maintains artificial intelligence systems that utilize relational data models. They focus on leveraging structured data and relationships within databases to create intelligent applications, often using advanced machine learning and knowledge graph technologies. These engineers work closely with data scientists and analysts to build scalable AI solutions that enhance data connectivity and reasoning. Their role is crucial in organizations that rely heavily on complex data relationships, such as finance, healthcare, and enterprise software.

What are the key skills and qualifications needed to thrive as a Relational AI engineer?

To thrive as a Relational AI Engineer, you need a strong background in computer science, relational databases, and machine learning concepts, often supported by a relevant degree. Familiarity with SQL, relational database management systems (RDBMS), Python, and AI/ML frameworks like TensorFlow or PyTorch is typically required. Analytical thinking, problem-solving skills, and effective communication are crucial soft skills for collaborating with teams and translating business needs into technical solutions. These skills and qualities are essential for designing and deploying intelligent systems that leverage relational data to drive meaningful business outcomes.

How does a Relational AI engineer typically collaborate with data scientists and business stakeholders on projects?

A Relational AI Engineer works closely with data scientists to design and optimize data models, ensuring that advanced analytics and machine learning workflows are both efficient and scalable. They also interact frequently with business stakeholders to understand requirements and translate them into actionable data solutions. Collaboration often involves regular cross-functional meetings, shared project management tools, and iterative feedback cycles to refine data products. This collaborative environment helps ensure that solutions are both technically robust and aligned with business goals.

What is the difference between Relational Ai vs Data Analyst?

AspectRelational AiData Analyst
Required CredentialsBackground in AI, machine learning, programming (Python, SQL)Degree in statistics, data science, or related field
Work EnvironmentTech companies, AI research labs, software developmentBusiness, finance, healthcare, and other industries
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding AI-focused roles, skills, and toolsAnalyzing data, generating reports, insights

Relational Ai primarily focuses on developing and implementing AI systems that understand and process relational data, often requiring programming and machine learning expertise. Data Analysts interpret data to provide business insights, using statistical tools and data visualization. While both roles work with data, Relational Ai is more technical and AI-driven, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Relational Ai jobs in Addison, IL?

For Relational Ai jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Relational Ai jobs in Addison, IL look for?

The top searched job categories for Relational Ai jobs in Addison, IL are:

Infographic showing various Relational Ai job openings in Addison, IL as of August 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $151,210 per year, or $72.7 per hour.

AI Technical Coach

Randstad Digital

Chicago, IL โ€ข On-site

$70 - $75/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Key responsibilities

  • Develop and deliver comprehensive training programs to enhance AI proficiency and standardize AI configuration practices.

  • Serve as a hands-on trainer and mentor to facilitate the developer community's transition to AI-driven orchestration and foster peer-to-peer learning.

  • Collaborate with organizational teams to design role-specific career migration paths and incorporate AI governance and security rules into developer workflows.


Job description

job summary:

Seeking a Principal AI-Native Enablement & Transformation Lead to spearhead the Organizational Change Management (OCM) and technical upskilling mission for our engineering community. This role is designed for a veteran Full Stack Architect who possesses the technical credibility to "walk the walk" in a modern Java and React stack, while also serving as a visionary educator. You will be the primary architect of the "Golden Path," transitioning our developers from traditional manual coding to a sophisticated, AI-augmented "Orchestration" model using Claude Code and Cursor.


location: Telecommute
job type: Contract
salary: $70 - 75 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
  • Develop Training Curricula: Architect and deliver comprehensive training program(s) that professionalize Claude Code proficiency by mastering context engineering, agentic lifecycle management, and iterative verification loops to ensure high-performance, cost-efficient AI integration.
  • Lead the developer AI Transformation: Serve as the hands-on trainer and mentor for the developer community, facilitating the shift from manual execution to AI-driven orchestration. Lead through formal training, community led peer to peer sessions and other formats which foster developer engagement in the AI Transformation.
  • Design Career Migration Paths: Collaborate with the OCM team to develop role-specific journeys that show developers how their daily activities will evolve and flourish in an AI-augmented environment.
  • Standardize AI Configuration: Train developers to understand and contribute to the proper use of .claudecode , , and skills to bake enterprise standards into the AI's persistent memory.
  • Collaborate with EQE & Governance: Work closely with AI Governance and Security teams to incorporate rules, regulations, and "Dos and Don'ts" into the developer's daily IDE workflow.Help promote and increase adoption of enablement tools and services.
  • Legacy Systems Modernization Focus: Tailor training to enhance AI-enabled strategies for analyzing, documenting, and refactoring legacy applications into modern architectures.
  • Foster a Community of Practice: Establish and lead "Office Hours," workshops, and community forums to encourage peer-to-peer learning and mitigate institutional anxiety.
  • Refine Requirements with AI: Teach Developers how to use Claude to enhance User Stories and Acceptance Criteria by injecting codebase-specific context.
  • Manage Token Stewardship: Educate teams on disciplined token consumption and managing the "cost of context" for performance efficiency.

qualifications:

Principal-Level Technical Leadership: 15+ years of hands-on experience in the SDLC, with the ability to lead by expertise, guidance, and oversight for senior engineering teams.


AI-Native Tooling Mastery: Deep, demonstrable proficiency in Claude Code (Required), Cursor, or GitHub Copilot.


Modern Tech Stack Expertise: Extensive and architect level experience with modern tech stacks (ie Java Spring Boot, Microservices), modern databases (ie relational, NoSQL) and a modern SPA framework/architecture (ie React).


Architectural Orchestration: Proven ability to move beyond "syntax production" to "architectural oversight," framing problems for AI with precision and constraints.


Cloud & DevOps Integration: Practical experience with GitHub, GitHub Actions, code quality tools and Cloud environments (AWS/Azure/Google Cloud Platform) to align AI workflows with CI/CD pipelines.


Critical Review Mastery: Expert-level capability in modern coding patterns such as TDD (Test Driven Development), Microservice architecture and the ability to audit AI-generated code for "vibe coding" vs. robust, idiomatic engineering.


OCM Strategy & Implementation: Practical experience with Organizational Change Management concepts; training user communities, building a "Community of Practice" that fosters peer-to-peer learning and cultural buy-in.


skills:

Agile methodologies,AWS,AI integration,modern architectures,AI,AI-enabled,AI workflows,Cloud Native,Cloud environments,codebases,Cursor,databases,Cloud & DevOps,Docker,GitHub Copilot,GitHub,GitHub Actions,modern Java,Java,Kubernetes,Legacy Systems,Microservices,Microservice architecture,Microservices Architecture,Azure,Native Development,NoSQL,React,Design Patterns,code quality,Java Spring Boot,Spring Boot,SDLC,Test Driven Development,Web APIs,adaptable,Exceptional Communication,speaking,Critical Thinking,emotional intelligence,ability to lead,resilient,high-performance,credibility,Acceptance Criteria,Architecture,enablement tools,AI-Assisted Development,automated,AI Transformation,Capability Development,Organizational Change Management,OCM,AI Enablement,Governance,AI Governance,lifecycle management,mentor,psychological,investigation,Security,Standardize,ability to teach,Technical Leadership,Tooling,Develop Training,User Stories



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.