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# AI Automation Consultant

- **Company:** Kforce Inc.
- **Location:** St. Louis, MO, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Operational Databases, Data Streaming, No-code Tools, Low-code, Api Design, GPT
- **Published:** September 15, 2026
- **Apply:** https://www.dice.com/job-detail/6f378703-f7c9-431a-b01a-c7f6faaec600

## About the Role

* Bachelor's or Master's degree in IT, Engineering, or related field
 * Demonstrable experience in automation development, low-code/no-code platforms, or technical implementation roles
 * Hands-on experience working with APIs and integrations in a delivery context
 * Hands-on experience applying AI in practical contexts, beyond prompting ChatGPT
 * Strong attention to detail in configuration, testing, and documentation
 * Professional fluency in Spanish and English
 * Demonstrated ability to learn new platforms quickly, with evidence of working across multiple tools
 * Ability to ship under pressure without sacrificing reliability; Pragmatic, not perfectionist

## Description

Kforce has a client that is seeking an AI Automation Consultant in Saint Louis, MO., We're seeking an AI Automation Consultant to join our Client Services team. You'll take solution designs from the Solutions Architect and bring them to life, building, testing, and deploying Digital Workers in Maisa Studio. You own everything from first configuration through go-live and handover to operations. You're measured by what ships, not what's planned.

Duties:
Build and Configure:

 * Implement Digital Worker configurations in Maisa Studio based on technical specifications from the Solutions Architect
 * Configure integrations including APIs, connectors, and data flows as defined in the solution design
 * Raise specification gaps or feasibility issues early; don't wait, don't assume

Test and Validate:

 * Own and execute UAT with production data, documenting results and resolving defects
 * Certify that Digital Workers meet defined KPIs and success criteria before go-live
 * Collaborate with the Solutions Architect during UAT to confirm the build matches the designed experience

Deploy and Hand Over:

 * Manage go-live deployment following established procedures
 * Hand over to operations with complete documentation: configuration details, known limitations, runbooks, and support notes
 * Ensure operational teams have everything they need to maintain the Digital Worker post-launch

Team Collaboration:

 * Partner closely with the Solutions Architect; ask questions, challenge assumptions, flag risks early
 * Provide effort estimates to support the Architect's scoping and delivery planning
 * Share reusable configurations, shortcuts, and lessons learned with the broader engineering team
 * Support fellow engineers when they hit blockers; team delivery matters more than individual output


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