AI Operations Engineer

Job Responsibilities:

• Design, build, deploy, and iterate on internal AI agents using enterprise-grade no-code/low-code agentic workflow platforms.
• Implement agents across multiple business functions including Support, Finance, HR, Marketing, Product, and Sales.
• Define agent behaviors, guardrails, escalation paths, and human-in-the-loop checkpoints.

Platform & Infrastructure:

• Evaluate, select, and own the company's agentic workflow platform(s) building the foundation for other teams.
• Integrate agents with existing systems via APIs, webhooks, and native connectors.
• Manage prompt engineering, LLM selection, and model configuration for each agent use case.

Enablement & Governance:

• Create templates, playbooks, and documentation so domain experts can propose and co-build agents.
• Establish governance frameworks for monitoring, logging, quality assurance, and performance tracking.
• Train internal teams on how to interact with, supervise, and improve agents.