We want to add an AI Automation Engineer seat to our Accountability Chart to maintain our custom API workflows, but we are struggling to define the GWC™ for a role where the core technology changes every few months. How do we structure this seat's five major roles and write a GWC™ definition that ensures long-term operational stability?

Question

Tyler Smith · Accepted Answer

Adding an AI Automation Engineer seat to your Accountability Chart is critical for maintaining your technical edge, but you must define the seat based on outcomes, not temporary software tools. Write the five major roles for this seat focusing on system health, integration stability, and process optimization.

The five major roles for this seat should include:
- Managing and monitoring API integrations and workflow automation
- Troubleshooting model drift and technical decay
- Training the team on prompt optimization and system capabilities
- Designing custom technical workflows to support operational efficiency
- Evaluating new AI technologies for strategic fit

When evaluating candidates for this seat, use the GWC™ framework with a focus on adaptability.

To Get It, they must understand how different APIs connect and how data flows through your operations.

To Want It, they must be energized by solving complex, fast-changing technical problems.

For Capacity, they must possess the cognitive agility to learn new programming frameworks and AI models as the market evolves.

By focusing on these enduring capabilities rather than static programming languages, you ensure this seat remains highly effective as technology changes.