AI Workflow Engineer

Also known as

The market uses several titles for the same role:

How it changes by seniority

• Junior — Builds defined workflow steps and wires them up under supervision.
• Mid — Designs human+agent workflows with control points and instruments them.
• Senior — Reliable orchestration architecture at scale; fixes bottlenecks and regressions.

Interview questions

1. 1. Design a workflow where an agent drafts, a human approves and another agent executes. Where do you place the control points?

   What to look for: Puts human-in-the-loop where risk demands it, not everywhere; thinks about the hand-off.

2. 2. How do you instrument a multi-step workflow to find the bottleneck?

   What to look for: Traces each step (latency, failures) and measures reliability per segment, not just the final result.

3. 3. A workflow step fails intermittently. How do you design so it doesn’t take down the whole process?

   What to look for: Talks retries, idempotency and durable state; isolates the failure.

4. 4. When does a process NOT justify an orchestrated workflow and a simple automation suffices?

   What to look for: Knows orchestration has a cost; doesn’t apply it to an isolated task.

Scorecard

• Human-in-the-loop design — Places control points where risk demands, neither too many nor too few.
• Robust orchestration — Handles retries, idempotency and durable state; one step failing doesn’t sink the flow.
• Process observability — Instruments each segment to see reliability and bottlenecks.
• Complexity judgement — Applies orchestration only when the process justifies it.

Red flags

• — Adds a human to approve every step "for safety" and chokes the flow.
• — Doesn’t think about what happens when an intermediate step fails.
• — Over-engineering: builds an orchestrated workflow for what was a script.