Build scheduled, autonomous pipelines: fetch the data, do the work, produce the output, deliver it — without a human starting it
Design the exception path. Clean cases should complete silently; the ones that need attention should reach the right person with the context to act
Connect to the systems we run — our ERP, our data platform, third-party tools, and web interfaces where no API exists
Build the deterministic guardrails and audit trail underneath all of it — input validation, output checks the model cannot influence, and traceability from any result back to the records and logic version that produced it
Capture user corrections as a feedback signal, so the system’s accuracy is measurable and improves
Work directly with the people whose jobs you are changing, and understand a process properly before automating it
Leave behind something maintainable — documented, in source control, and operable by someone who is not you

AI Automation Engineer — Contract

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