Key Responsibilities:
- AI solution development: Build and deploy AI-enabled tools, workflows, and internal automations.
- Integration and enablement: Connect AI agents, tools, and automations with enterprise systems.
- MCP and platform ownership: Build, maintain, and improve MCP connections and supporting infrastructure.
Required Skills and Qualifications:
- Experience: 8+ years of experience in IT engineering, systems engineering, platform engineering, automation, DevOps.
- Technical Acumen: Strong experience designing and delivering internal tools, automations, or platform capabilities.
- Architecture: Designs systems and workflows that are scalable, secure, and maintainable over time.
Preferred Attributes:
- Experience supporting enterprise rollout and enablement of AI tools such as Claude, Copilot, or similar platforms.
- Experience with retrieval, knowledge integration, or context management patterns for AI-enabled workflows.
- Interest in AI governance, security, and responsible-use frameworks.