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Relational Ai Jobs in Addison, IL (NOW HIRING)

Department Overview The Supply Chain AI & Data team drives the strategic transformation of our ... Solid understanding of SQL and experience querying relational databases to support conversational ...

Lead GenAI Engineer

Chicago, IL · On-site

$105K - $139K/yr

Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL. * Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and ...

New

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Hands-on experience with AWS AI/ML and data services, including Amazon Bedrock, Bedrock Agent Core ... Familiarity with NoSQL and relational databases, as well as data modeling best practices. * Strong ...

Senior Software Engineer

Schaumburg, IL · On-site

$120K - $158K/yr

... with relational database technologies, data modeling concepts, and Agile/Scrum development methodologies * 2+ years of experience utilizing AI-assisted development tools (e.g., GitHub Copilot ...

Senior Software Engineer

Schaumburg, IL · Remote

$120K - $158K/yr

... with relational database technologies, data modeling concepts, and Agile/Scrum development methodologies * 2 years of experience utilizing AI-assisted development tools (e.g., GitHub Copilot ...

Showing results 41-60

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.

Solution Engineer - AI & Data Integration - US Federal

Salesforce, Inc.

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Support the sales process by conducting product demonstrations, technical workshops, and architecture strategy sessions.

  • Design compliant, AI-ready architectures that unify data from disparate sources and enable intelligent, autonomous agents.

  • Act as a strategic architectural partner to bridge legacy system connectivity with modern AI and data integration solutions.


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

114th of 247 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Sales

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Applications for this position will be accepted on an ongoing basis.

Salesforce is hiring an AI & Data Integration Solution Engineer to join our Global Public Sector team, specifically supporting the US Federal region. The AI revolution is a data evolution, and this critical role sits at the forefront of making agentic AI a reality for our government customers.

As an AI & Data Integration specialist, you are more than a technical expert - you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data 360 (Unified Data Management), and agentic AI to solve complex data and AI challenges for [area] customers. In this role, you will bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management and real-time data unification to advanced analytics and intelligent agentic systems.

The Solution Engineer role focuses on closing sales opportunities - collaborating with account executives, customers, and partners to formulate a comprehensive technical account strategy and secure the technical win. You will lead activities to support the sales process including product demonstrations, technical workshop delivery, architecture strategy sessions, and other customer engagements. You will contribute to the success of customers by conducting holistic discovery, defining the "data-to-agentic-AI journey," and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos while enabling intelligent, autonomous agents.

What you get working for the AI & Data Integration SE Team:

  • A Unified Mission: Work in a specialized team that owns the entire data-to-AI lifecycle.

  • Outcome-First Leadership: Opportunities to lead high-impact discovery sessions that start with agency mission outcomes (e.g. citizen services, public safety, legacy modernization) rather than product features.

  • Strategic Growth: Support from leaders committed to your mastery of the "Data 360 + Agentic AI" vision, including integration, analytics, unified data management, and intelligent agentic capabilities.

  • Innovation at Scale: Work for the #1 AI CRM company, building the trusted data foundations and agentic architectures required for the next generation of autonomous AI agents that accelerate defense outcomes.

Required Qualifications:

  • B.S. Computer Science, Software Engineering, MIS

  • Knowledge of related applications, relational database and web technology

  • Solid oral, written, presentation, collaboration and interpersonal communication skills

  • Ability to work as part of a team to solve technical problems in varied political environments

  • Minimum of 4 years of professional experience

Other Qualifications you'll need to be successful:

  • Architectural Mindset: Design secure, composable architectures that scale within regulated government environments (including FedRAMP High and Impact Level 4/5/6).

  • Multi-Platform Technical Depth: Previous hands-on experience or deep conceptual knowledge across Integration (MuleSoft), Data Analytics (Tableau), Unified Data Management (Data 360), and agentic AI platforms. A qualified candidate will have expertise in two of the core data/integration capabilities plus demonstrated prior experience with agentic AI; a great candidate will have exposure across all.

  • Agentic AI Experience: Demonstrated experience (2+ years is highly valued) with agentic AI solutions, including prior hands-on work designing or deploying intelligent agents, LLM integration strategies, orchestration frameworks, prompt engineering, and Retrieval-Augmented Generation (RAG) patterns.

  • Strategic Communication: Excellent ability to reframe technical challenges into mission and business value for C-level government executives and technical stakeholders alike.

  • AI Readiness: Deep understanding of "Trusted Context Foundations" for AI, including data grounding, metadata intelligence, and how unified data enables reliable agentic workflows.

  • Collaboration & Influence: Proven ability to partner early with Account Executives to drive sales strategy and lead "Data + Agentic AI Discovery" from day one.

  • Experience: Minimum of 5 years of professional experience in Solution Engineering, Enterprise Architecture, or Digital Transformation, with previous hands-on delivery experience in AI/data/integration projects.

  • Technical Foundations: Degree in Computer Science/IT or other relevant training; prior experience with APIs, cloud infrastructure (AWS, Azure, GCP), and modern development practices is preferred.

  • US citizenship required

Preferred Qualifications:

  • Salesforce Certifications

  • Previous experience as a solution/sales engineer

  • Certifications: One or more of the following: MuleSoft Certified Architect, Tableau Desktop/Server Specialist, Salesforce Data 360 Consultant, AI Associate credentials, or equivalent.

  • Industry Knowledge: Deep understanding of Public Sector/DoD compliance (FedRAMP, IL4/5/6) and common government data silos.

  • Ecosystem Expertise: Familiarity with enterprise data platforms, data governance and MDM tools, plus prior exposure to agentic AI frameworks or orchestration patterns.

  • Regulated Industry Experience: Background delivering AI solutions in highly regulated or mission-critical environments.

What you'll achieve:

3 months:

  • Master the Stack: Complete intensive onboarding courses and certification paths for MuleSoft Anypoint Platform, Data 360, Tableau, and agentic AI capabilities.

  • Build Your Point of View: Align with the go to market plan and begin building your "Data-to-Agentic AI Journey" whiteboarding and workshop skills.

  • Shadow & Learn: Join active Public Sector engagements to observe how to lead discovery and architects multi-product AI + data solutions.

12 months:

  • Own the Technical Win: Serve as the lead architect on complex, multi-cloud data and agentic AI opportunities, delivering higher win rates and faster deal cycles.

  • Evangelize the Vision: Execute high-impact architectural workshops that showcase the power of unified data as the foundation for trustworthy intelligent agents.

  • Enable the Ecosystem: Mentor account teams and partners on how to position "Data + Integration + Agentic AI" as the foundation for mission transformation.

  • Drive Mission Outcomes: Successfully architect solutions that unify citizen/operational data, modernize legacy systems, enable real-time analytics, and deploy agentic AI capabilities that accelerate defense decision-making and operational excellence.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $134,750 - $180,250 annually There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $148,190 - $198,170 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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