AI Platform Operator

Ken Garff • Salt Lake, UT

23h • Hybrid

About The Position

Ken Garff Automotive Group is building a brand-new AI team and looking for an AI Platform Operator to own the day-to-day operation and governance of our AI workflow-orchestration platform. This is a hands-on operations and configuration role — not a software-engineering role. It is built for someone who is fluent in no-code / low-code automation platforms, operationally sharp, and genuinely energized by getting AI systems to run reliably at scale. The AI Platform Operator will administer the platform, configure decision policies and agent instructions, validate that automated decisions and agent outputs are working as intended, and keep the whole system documented and governed. Much of this work centers on agentic systems — deploying and governing AI agents that take actions on behalf of the business — so candidates with hands-on experience configuring or operating an automation or orchestration platform will be especially relevant. The ideal candidate pairs strong platform-configuration instincts with sharp attention to detail, a bias toward action, and the curiosity to figure things out in an environment that is still finding its footing. Comfort with ambiguity is essential. This is early-stage platform work, and it rewards people who poke at things and solve problems. This is a hybrid role based in our Salt Lake City office. With the exception of an initial HR phone screen, all interviews will be conducted in person at our Salt Lake City office — no video interviews for subsequent rounds. Relocation assistance is not available; candidates must already be located in the Salt Lake metro area or be willing to relocate at their own expense before starting.

Requirements

• Platform configuration fluency — comfortable building and administering workflows on a no-code / low-code automation or orchestration platform.
• Prompt fluency — able to write clear, effective instructions for AI agents and evaluate whether their outputs are correct, hallucinated, or drifting.
• QA and validation mindset — a habit of checking outputs carefully before they reach the business, and the patience to trace a bad result back to its cause.
• Conceptual understanding of integrations and APIs — knows what connects to what and can have an informed conversation without needing to build it.
• Comfort with ambiguity — thrives in early-stage environments where the answer isn't always clear and the process is still being built.
• Attention to detail — especially around configuration accuracy, output quality, and documentation.
• Documentation discipline — leaves behind a clear trail so others can understand and maintain what was built.
• Hands-on experience configuring and operating a no-code / low-code automation or workflow-orchestration platform — for example n8n, Zapier, Make, Workato , or Camunda — strongly preferred.
• 2–4 years in a role that required hands-on configuration and administration of a business platform — examples include Salesforce admin, ServiceNow admin, HubSpot ops, RPA/workflow tool admin, or similar.
• Experience with AI platforms, prompt engineering, or automated decision systems.
• Hands-on experience with agentic AI systems — deploying agents, designing agent workflows, writing and governing agent instructions, or operating an agentic platform — strongly preferred.

Nice To Haves

• Basic scripting ability (e.g., Python or JavaScript) — useful for custom code nodes in tools like n8 n.
• SQL fluency — able to write a join, query data, and validate results.
• Familiarity with Snowflake, Domo, or BI tools such as Tableau or Power BI.
• Dashboard building and interpretation.
• Data validation across systems and general data-quality assessment.
• Experience supporting a data scientist with exploratory analysis and reporting.
• A degree is a plus but not a substitute for a demonstrated track record of building and operating real workflows.

Responsibilities

• Serve as the primary administrator for the AI platform, configuring decision policies, governance rules, and agent instructions.
• QA and validate automated decisions and agent outputs before they go live — catching errors, hallucinations, or drift before they reach the business.
• Tune and iterate on the prompts and instructions that drive AI agents, evaluating outputs and improving them based on results.
• Build, configure, and maintain automated workflows on the platform, connecting the systems and steps an agent needs to do its job.
• Monitor platform performance and governance data month over month, surfacing trends and anomalies to the team.
• Maintain clear documentation of platform configurations, workflows, and governance standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed