Retrieval Augmented Generation Rag Jobs in Illinois

What will you do? Make an impact!

As an AI Solutions Engineer, you will accelerate business value delivery by rapidly turning ideas into AI-enabled applications, workflow automation solutions, and modern digital capabilities. Working closely with business leaders, operational teams, IT, and Global Digital Innovation teams, you will design, prototype, and deploy practical AI-powered solutions that improve operational efficiency, simplify workflows, and modernize legacy processes.

This role is highly hands-on and execution-focused. You will rapidly translate ambiguous business problems into scoped experiments, MVPs, and scalable production-ready solutions. You will work across the full solution lifecycle: from idea and prototyping through deployment, operationalization, monitoring, and continuous improvement.

Key Responsibilities

Rapid Prototyping & MVP Delivery

• Develop and deliver rapid AI prototypes and demo-ready MVPs that validate business value quickly and support fast iteration with business stakeholders.
• Translate ambiguous business challenges into working solutions, and scalable applications.

AI Application Development

• Build, deploy, and maintain AI-enabled applications, workflow automation solutions, and user-facing tools that improve operational efficiency and business processes.
• Develop end-to-end solutions leveraging modern AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), APIs, orchestration frameworks, and AI-assisted automation.

Workflow Automation & Legacy Modernization

• Replace or simplify legacy internal applications with fit-for-purpose solutions while implementing AI-assisted workflow automation and modern user experiences.
• Design solutions that reduce manual effort, simplify complex workflows, and improve usability for business users.

Enterprise Integration & Operationalization

• Integrate AI solutions with enterprise applications, operational platforms, and data environments while ensuring solutions are scalable, secure, maintainable, and production-ready.
• Establish observability, monitoring, governance, and operational controls to support long-term reliability and supportability.

Cross-Functional Collaboration

• Partner with business teams, BRMs, IT, architecture, security, and Global Digital Innovation teams to align technical solutions with operational needs and governance standards.
• Serve as a technical translator between business stakeholders and technical teams to accelerate solution adoption and execution.

AI Governance & Responsible AI

• Support AI governance initiatives including approved tools and models, vendor evaluation, data privacy, security controls, and value realization tracking.
• Ensure AI deployments align with company security, compliance, and operational standards.

Production Readiness & Continuous Improvement

• Ensure solutions meet operational requirements for accuracy, resiliency, maintainability, usability, and cost efficiency.
• Continuously iterate and improve deployed solutions based on business feedback and operational performance.

Training & Capability Building

• Upskill IT teams and business stakeholders through hands-on collaboration, reusable templates, practical examples, and build-together approaches.
• Help establish reusable patterns and best practices that enable broader AI adoption across the organization.

Do you have what it takes?

• Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent hands-on experience preferred.

•  Experience:
  • 3+ years of hands-on software development experience across backend, frontend, and data layers.
  • 1+ years of experience delivering applied AI solutions such as Generative AI, Retrieval-Augmented Generation (RAG), AI-assisted automation, intelligent search, or workflow orchestration solutions.
  • Experience building and integrating solutions using APIs, AI frameworks, orchestration platforms, and enterprise data sources.
  • Experience modernizing or replacing legacy/internal applications with scalable, maintainable solutions.
  • Experience with cloud platforms, low-code/no-code automation tools, orchestration frameworks, observability tooling, or enterprise integrations is a plus.

• Skills:
  • Proven full-stack development capability building APIs, user-facing applications, workflow automation solutions, and data-driven platforms.
  • Proven ability to rapidly prototype, pilot, and iterate solutions with business stakeholders from idea through production deployment.
  • Strong communication and collaboration skills with the ability to translate technical concepts into practical business outcomes.
  • Ability to thrive in a fast-paced environment while balancing multiple priorities and rapidly evolving technologies.

What's in for you?