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# AI Solutions Engineer

- **Company:** Veralto Corporation
- **Location:** Wood Dale, IL, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Information Engineering, Python (Programming Language), Systems Integration, Enterprise Data Management, AI Platforms, Kubernetes, Automation Anywhere
- **Published:** August 15, 2026
- **Apply:** https://dejobs.org/x/x/694F1623A24F4C029317A18796E2DDE7/job/

## About the Role

* 5+ years of software, cloud, platform, or data engineering experience.
 * Applied AI experience delivering production solutions.
 * Strong Python development skills.
 * Azure and/or AWS cloud experience.
 * Enterprise API and integration experience.
 * Experience with AI workflows, orchestration frameworks, and retrieval systems.
 * Ability to translate business challenges into technical solutions.

## Description

As an AI Solutions Engineer, you'll help transform business problems into production-ready AI solutions that improve customer experiences, increase efficiency, and support growth across the enterprise.

You'll partner with business leaders, product managers, cloud teams, data teams, and technology partners to design, build, integrate, deploy, and support AI-powered solutions.

What You'll Do

 * Design and deploy enterprise AI services and workflows.
 * Build retrieval systems that work with complex enterprise data.
 * Integrate AI capabilities with CRM, knowledge, data, and operational platforms.
 * Evaluate build, buy, and hybrid solution approaches.
 * Develop AI agents and multi-step workflows.
 * Deploy cloud infrastructure using Infrastructure as Code.
 * Establish monitoring, evaluation, and governance practices.
 * Support production operations, reliability, and continuous improvement.

What Success Looks Like

 * AI solutions adopted by business users.
 * Reliable production systems with measurable outcomes.
 * Secure and governed enterprise integrations.
 * Strong evaluation frameworks and release processes.
 * Continuous improvements in quality, reliability, and cost efficiency.


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