About the role
Responsibilities Design, build and maintain AI-powered skills, plugins and agentic workflows Troubleshoot workflow failures, system issues and user challenges Manage AI system configurations including model access, rate limits and usage policies Support prompt engineering with robust system prompts and instructions Integrate tools across ecosystems including Anthropic and Microsoft environments Collaborate with cross-functional teams to implement practical AI solutions Advise stakeholders on AI tool selection and best-fit solutions Requirements 5-8 years in software engineering or AI system development Proven experience deploying AI systems in production Hands-on experience with Claude tools or similar AI platforms Workflow automation experience with n8n or equivalent Strong prompt engineering expertise Solid understanding of APIs, scripting, debugging and integrations Experience with agentic architectures or managed AI systems Strong troubleshooting skills in distributed systems Preferred Qualifications M365 Copilot administration or deployment experience Exposure to cybersecurity or GRC environments Understanding of enterprise AI security and compliance Experience evaluating AI deployment strategies in regulated environments