AI Automation Engineer (Agentic AI)

What You'll Do7

• Map current-state workflows alongside business stakeholders, then redesign those processes around automation instead of digitizing the old steps.
• Architect and write agents from scratch with coding tools like Codex and Claude Code, keeping the code testable and maintainable.
• Deploy and run agents in Azure Container Apps and Azure Function Apps, covering packaging, configuration, secrets, scaling, and monitoring.
• Wire agents into the wider orchestration layer through multi-agent coordination, tool and data integrations, shared state, and handoffs.
• Select models and routing strategies that balance capability, latency, and spend, and keep token and compute budgets in check.
• Add evaluation, observability, error handling, and guardrails so each build can run against real business work.
• Identify where agents add the most value inside an operational workflow and make the case to stakeholders.

Requirements7

• A track record of building AI agents from scratch, not prompt tuning or no-code wiring, using coding agents such as Codex or Claude Code and agent frameworks.
• Strong command of orchestration: multi-agent patterns, tool use, retrieval, memory and state, and coordination inside a larger system.
• Hands-on Azure deployment work with Container Apps and/or Function Apps, including containers, triggers, scaling, configuration, and secrets.
• Experience mapping a workflow and reengineering it for automation while working directly with business stakeholders.
• Ability to choose the right model for a task and manage token and compute spend against cost, latency, and quality targets.
• A solid engineering base in Python and/or TypeScript, APIs, version control, testing, and CI/CD.
• Comfort shipping with minimal oversight and operating independently.

Preferred Qualifications5

• Agent evaluation and observability tooling, including eval harnesses, tracing, and prompt and version management.
• A background in management consulting, operations, or business-process reengineering.
• Familiarity with Azure AI services, Azure OpenAI, and other Azure data and integration services.
• Experience connecting agents to enterprise systems such as CRM, ERP, ticketing, or data warehouses.
• Prior work in a professional-services or client-delivery setting.

Who Should Apply

A senior contractor who has shipped agents to production on Azure and can sit with a business team to redraw a process before writing code. Bring Python or TypeScript depth, a working feel for model cost and latency tradeoffs, and the habit of adding evals and guardrails before launch.

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