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Mid-level metro role with moderate brand visibility but niche GenAI/agent specialization limits applicant pool.
Highly specialized GenAI agent and AMS/ITSM domain experience limits cross-industry transferability.
Explicit 5+ years plus 2+ years GenAI experience and mandatory agent/tooling, CI/CD, and ITSM skills raise filter strictness.
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Design, build, and optimize reusable AI agents and workflows for operational use cases like ticket analysis, knowledge mining, SLA tracking, and automated runbook generation.
Ensure agents are accurate, testable, secure, grounded, and observable by leveraging telemetry, evaluation metrics, and SME feedback for continuous performance refinement.
Translate process requirements into multi-agent workflows using Agent Builder and frameworks like LangChain, manage tool integration, prompt engineering, grounding, guardrails, and deliver production-grade, reliable agent solutions with monitoring and error handling.
5+ years in software, automation, or platform engineering; 2+ years hands-on with GenAI, LLM, RAG, or AI agent applications (AMS/ITSM experience preferred).
Hands-on expertise with Agent Builder or similar enterprise agent development platforms and agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI).
Strong skills in Python, REST APIs, CI/CD, unit testing, and distributed workflows with observability and fault tolerance.
Understanding of AMS/ITSM domains including ServiceNow data models and ticket lifecycle management.
Experienced in end-to-end delivery of AI agent assets from design through production deployment in enterprise environments.
Skilled in applying agentic design patterns and advanced prompt/context engineering for robust, grounded AI solutions.
Comfortable working in environments requiring governance, reliability controls, human-in-the-loop approval, and continuous performance evaluation of AI agents.