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Mid-level AI title, metro location, broad integration skills, and popular AI domain drive high competition.
Strong enterprise ITSM, identity, and agentic-AI tooling requirements make cross-industry transferability limited.
Explicit 3+ years plus mandatory agentic AI, ITSM integrations, RAG and vector DB expertise enforces strict filters.
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Design, build, and operate agentic AI workflows to improve IT self-service adoption, reduce ticket volumes, and shorten time to resolution while ensuring governance and security.
Lead technical investigation, architect AI Ops / IT automation solutions, and maintain AI Agents, Agentic Workflows, and Apps across ITSM tools and enterprise platforms.
Monitor and optimize operational performance using dashboards and analytics; provide technical leadership for automation, integrations, access, compliance, and escalations.
3+ years of experience as AI engineer or AI Ops Engineer with strong understanding of IT service management processes (Incident, Request, Change, SLAs).
Hands-on experience with agentic AI studios including Agents, Workflows, Apps, AI Functions, Integrations (MCP/APIs), Triggers, and model/settings administration.
Proficient in JavaScript and automation scripting; strong knowledge of REST/SOAP APIs, JSON, OAuth 2.0, and enterprise identity integrations.
Work Experience Required: 3+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in integrating enterprise tools such as Nexthink, Zoom Contact Center, IAM platforms (Okta, SailPoint), ServiceNow, and ITSM/observability platforms.
Skilled in prompt engineering, conversational AI, chatbot orchestration, knowledge ingestion pipelines, and event-driven automation in a dynamic, fast-paced environment.
Capable of partnering with technology and business stakeholders across an organization to influence technology decisions and deliver operational support.