Own the operational backbone of our Enterprise AI platforms and build AI Agents
Configure, maintain, and optimize Enterprise AI platform deployments (Claude, Copilot, Gemini)
Build and deploy AI Agents for Shared Services teams using established pipeline standards
Build and maintain a shared resource repository of reusable components
Participate in recurring sessions to harvest segment innovations, standardize them, and redistribute org-wide
Serve as the hands-on AI resource for segments without dedicated AI infrastructure
Apply team development standards to all AI solutions and platform work

1–2 years hands-on experience building with Claude or equivalent LLM APIs — prompt engineering, API integration, tool-use and function-calling patterns
Proficiency in Python and/or TypeScript/Node.js for AI application development
Familiarity with agent orchestration concepts: multi-step reasoning, tool chaining, context management
Experience with MCP servers or equivalent integration patterns
Proficiency with context and token optimization
Familiarity with governance, compliance, and security principles as they apply to responsible AI deployments
2–4 years of industry experience preferred
Experience with Copilot, Gemini, or other foundation models and workflow automation platforms
Familiarity with evaluation frameworks for AI output quality measurement
DevOps, CI/CD, or agile development background applied to AI deployment pipelines
Experience building autonomous AI agents for enterprise workflows — not just chat bots or assistants

AIOps Engineer

Key skills