Pathway 01 / Build
Generative AI Application Engineer
Strengthen the model, retrieval, evaluation, and product layer around your agents.
Explore generative AI →Career pathway / Workflow engineering
Design supervised agents that connect tools, systems, and approvals around a business process people can measure.

The study plan
Find the process worth improving and the boundary where a person should stay in control.
Deliverable: an automation opportunity assessment with baseline measures and a risk register.
Build an agent that can reason through a task without hiding its state or escape routes.
Deliverable: a single-agent task runner with explicit state and a human approval checkpoint.
Connect the agent to real systems in a way that survives retries and partial failure.
Deliverable: a multi-system workflow with retry behavior and an operator-facing runbook.
Use multiple specialized agents only when coordination creates real value.
Deliverable: a research-and-review agent team with a visible handoff trace.
Probe the workflow before asking other people to rely on it.
Deliverable: an agent red-team report with findings, mitigations, and residual risk.
Make autonomy observable, interruptible, and accountable in the operating environment.
Capstone: a supervised business-process automation with measurable ROI, safety case, and portfolio narrative.
By the end
You will be able to map a process, choose where agents help, instrument the handoffs, and show whether the result is safer and more useful than the starting point.
Separate repeatable work from judgment that deserves an accountable human.
Build approval points, stop conditions, retries, and audit trails into the happy path.
Use red-team scenarios and task-completion tests to make failures concrete.
Connect system traces to quality, exception rate, time saved, and cost.
“The red-team report became the strongest part of my portfolio because it showed judgment, not just orchestration.”
Mentor profile
Workflow systems architect focused on human approvals, resilient integrations, and the operational reality of agentic products.
Before you begin
No. The work centers supervised systems: clear permissions, useful approvals, observable state, deterministic fallbacks, and honest measurement of the process.
Yes, a certificate of pathway completion when the required work is submitted. It is not a professional license and does not guarantee employment or income.
Related pathways
Pathway 01 / Build
Strengthen the model, retrieval, evaluation, and product layer around your agents.
Explore generative AI →Pathway 05 / Assure
Add risk, privacy, threat modeling, and assurance to the systems you automate.
Explore responsible AI →