STAFF AGENTIC AI ENGINEER

Staff Engineer I – Agentic AI Platform Deployment Engineer Remote

Summary

The Agentic Platform Deployment Engineer takes autonomous AI agents (systems that plan and execute complex, multi-step tasks across enterprise software) from validated design into safe, observable production operation, using platforms such as Claude, Copilot, Edifecs Agent Platform, or Google's agentic platform. This role focuses on agent deployment, testing, and launch.

Key Responsibilities

Own the deployment pipeline: staging, canary rollout, and production cutover Define least-privileged permission and tool access boundaries for autonomous agents Run pre-launch adversarial testing (prompt injection, tool misuse, unsafe plans) before production exposure Implement human-in-the-loop approval gates and escalation paths for high-risk agent actions Build observability, audit logging, and kill switch/rollback mechanisms for agent behavior Lead incident response for agent failures and track task success, cost, and latency in production Partner with architects, AI engineering, and security on rollout strategy; mentor engineers on safe deployment

Required Qualifications

Bachelor's degree in computer science or equivalent 8 to 10+ years enterprise software engineering experience, with ownership of production deployment/operations Hands-on experience deploying or operating agentic AI systems (Claude, Copilot, Edifecs, or Google's agentic platform) Strong grasp of AI safety and guardrail patterns: sandboxing, permission scoping, rollback design Practical CI/CD, DevSecOps, and cloud deployment experience (OpenShift, Kubernetes, AWS)

Preferred Qualifications

Direct experience with Edifecs Agent Platform or Google's agentic platform in production Experience running red team or adversarial evaluations against LLM agents Experience defining SLOs and alerting for agent reliability