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Relational Ai Jobs in Addison, IL (NOW HIRING)

Whiztek Corp

Gen AI Engineer

Chicago, IL · On-site

$82K - $111K/yr

Manage complex state transitions and data flows between relational databases (AWS Neptune - Graph Db), vector stores (OpenSearch), and distributed caches (Redis). * API & Protocol Mastery: Define ...

OneStream Software LLC

Associate AI Engineer

Chicago, IL · On-site

$99 - $128/hr

# Associate AI EngineerShareApply nowJob Details## Posting Details* + Posted on June 22, 2026 ... Experience with relational or non-relational databases (MS SQL Server).* Knowledge of distributed ...

OneStream

Associate AI Engineer

Chicago, IL · On-site

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

OneStream

Associate AI Engineer

Chicago, IL · On-site

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

OneStream

Associate AI Engineer

Chicago, IL · On-site

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

OneStream

Associate AI Engineer

Chicago, IL · On-site

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

OneStream

Associate AI Engineer

Chicago, IL · On-site

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

OneStream Software

Associate AI Engineer

Chicago, IL · On-site

Description Associate AI Engineer Location : Hybrid, United States Employment Type : Full-Time ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

OneStream Software

Associate AI Engineer

Chicago, IL · On-site

Description Associate AI Engineer Location : Hybrid, United States Employment Type : Full-Time ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

OneStream

Associate AI Engineer

Chicago, IL · On-site

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with relational or non-relational databases (MS SQL Server). * Knowledge of distributed ...

Koch Industries

AI Data Analytics Engineer

Lisle, IL · On-site

$112K - $135K/yr

Design, implement, and maintain relational and analytical databases (logical/physical schema design ... Design, build, and orchestrate agentic AI workflows - multi-step, tool-using AI agents that ...

Northern Trust

Solution Architect - Data & AI

Chicago, IL · On-site

$137K - $233K/yr

Solution Architect - Data & AI Northern Trust Asset Management is looking for Solution Architect ... Expert level understanding of relational database concepts, dimensional database concepts and ...

Omron

AI & Analytics Specialist

Hoffman Estates, IL

Strong SQL skills and experience working with relational databases. * Experience using Microsoft Excel and other Microsoft Office applications. * Familiarity with Microsoft Copilot, Azure AI, OpenAI ...

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All JobsRelational Ai JobsRelational Ai Jobs in Addison, IL

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:

Relational Ai jobs near you
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.

Gen AI Engineer

Whiztek Corp

Chicago, IL • On-site

$82K - $111K/yr

Other

Posted 4 days ago

Job description

Job Title: AI Engineer

Location: Chicago, IL

Job Type: Hybrid (2 days/week in office)

Client: United Airlines

 

Core Responsibilities

  • Event Driven Architecture: Good understanding of Event Driven Architecture , catering to both Real time and non - real time needs , using message brokers like Solace, SQS, Kafka, etc.
  • Familiarity with AWS Serverless architecture.
  • AI Orchestration & RAG Pipelines: Design the backend logic for Retrieval-Augmented Generation (RAG), managing the lifecycle of vector embeddings, data ingestion, and prompt templating.
  • MCP Server Engineering: Develop and maintain high-performance MCP servers to standardize data access and tool-calling across multiple LLM providers.
  • Advanced Data Modeling: Manage complex state transitions and data flows between relational databases (AWS Neptune - Graph Db), vector stores (OpenSearch), and distributed caches (Redis).
  • API & Protocol Mastery: Define contract-first development standards using SSE and REST, ensuring seamless integration between backend AI services and external consumers

Nice to Have:

  • Exposure to LangChain
  • MCPSharp / ModelContextProtocol.SDK libraries
  • ML.Net

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