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# AI Soultions Engineer

- **Company:** APPLAUSE-APPLAUSE
- **Location:** Salt Lake City, UT, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Business Software, Business Systems, Software as a Service, Data Security, Human Resources Information System (HRIS), Home Automation, Systems Integration, Large Language Models, Zapier, Information Technology, Slack, No-code Tools, Low-code, Automation Anywhere
- **Published:** August 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-soultions-engineer-salt-lake-city-ut--9349ad6c-dbf7-40ae-9d2d-7af7cf766d56

## About the Role

+ Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
 + 2-4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
 + Able to write and modify code for simple, internal business applications (even if AI writes most of it)-production-grade or engineering-quality code is not required
 + Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
 + Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
 + Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
 + Strong communicator who can train and troubleshoot with non-technical users
 + Detail-oriented with strong ownership over initiatives, start to finish
 + Very effective in a remote workenvironment, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Operations, Business Solutions, Communication Skills, Computer Science, Cross-Functional, Customer Escalations, Customer Relationship Management (CRM), Data Science, Detail Oriented, Electrical Wiring, Entrepreneurship, Establish Priorities, Finance, HRIS/HRMS, Healthcare, Home Automation, Identify Issues, Life Insurance, Marketing, Product Engineering, Progress Reports, Return on Investment (ROI), Sales, Slack, Software as a Service (SaaS), Startup, System Integration (SI), Technical Operations, Training/Teaching, Use Cases

## Description

We're looking for an AI Solutions Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution., * AI Workflow Roadmap & Delivery
*

 + Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
 + Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
 + Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
 + Iterate and fine-tune workflows post-launch based on usage and feedback
 * Systems & Integrations
*

 + Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
 + Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
 + Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
 * Adoption, Training & ROI
*

 + Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
 + Troubleshoot adoption issues directly with end users rather than escalating them
 + Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
 + Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
 + Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change


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