Chief AI Solution Engineer

Our organization is seeking a Chief AI Solution Engineer to come on board. This position centers on helping automate risk-based controls and connector design frameworks, in addition to performing direct, manual review of the standing backlog. Whoever takes on this role will be called upon to guide decisions around triaging the review process, selecting appropriate tooling, and addressing software supply chain considerations, all while informing architectural direction as new functionality is introduced. In time, this role will also be tasked with developing a harness rubric that determines which trusted tools are appropriate for internal use and ready for wider rollout Responsibilities Assess and grant approval for AI skills, agents, connectors, and MCP integrations by evaluating them against defined risk and security thresholds Plan out and build custom-tailored MCP servers, connectors, and integrations that align with sanctioned business applications Perform thorough security evaluations spanning Claude Enterprise, Microsoft 365 Copilot, and similar AI platform functionalities Examine connectors and integrations to identify risks involving data exposure, access permissions, identity and security measures, audit trails, and broader rollout concerns Play a part in establishing and maintaining AI governance policies, structured review procedures, and risk evaluation approaches Deliver architectural guidance and practical implementation support to enable secure AI deployment throughout the organization Guide cost-management approaches specifically related to consumption-based AI product spending Requirements A minimum of 7 years of relevant hands-on professional background At least 2 years spent in roles leading and overseeing development teams Strong foundation in API and integration standards supporting secure, scalable connections between systems Practical background applying AI solutions, with particular emphasis on agentic business transformation work Deep familiarity with cybersecurity and trust principles as they apply to AI systems and related integration efforts Solid working knowledge of the Model Context Protocol (MCP) and how it supports building secure integrations Upper-intermediate English language skills or higher (B2) Nice to have Experience using Anthropic Claude to support the development of AI-driven solutions Familiarity with Microsoft Copilot for enabling AI-assisted productivity and automation applications