Agentic AI Fluency (Critical)
• Hands-on experience designing, deploying, or evaluating multi-step agentic AI systems in production or near-production environments
• Working knowledge of agent architectures: tool use, ReAct patterns, orchestration, memory, and multi-agent coordination
• Familiarity with MCP (Model Context Protocol), LangChain, or comparable agent orchestration approaches
• Clear mental model of where agentic AI adds value versus where it introduces unnecessary complexity or risk
Platform Expertise
• Direct experience with two or more of: ChatGPT Enterprise (OpenAI), Claude (Anthropic), Gemini (Google Workspace / Vertex), Salesforce Agentforce
• Ability to evaluate platform tradeoffs for specific use cases—not just benchmark comparisons, but production design decisions
• Awareness of enterprise governance requirements: data residency, access control, audit logging, model versioning
Automation Judgment (Critical)
• Structured approach to deciding when AI is the right tool—and when it is not
• Understanding of deterministic vs. probabilistic systems and where each belongs in a production workflow
• Experience evaluating tradeoffs: prompt-based tools, structured workflows, rule-based systems, and engineered solutions
Systems Thinking
• Experience designing end-to-end workflows with attention to inputs, outputs, dependencies, and failure modes
• Ability to reason about production readiness, monitoring, and long-term maintainability—not just initial deployment
Enablement Mindset
• Proven ability to build team capability and transfer ownership—measured by independence, not dependency
• Experience developing playbooks, training programs, or frameworks adopted at scale
• Comfort stepping away once teams are self-sufficient; no interest in owning operations indefinitely
Execution in Ambiguity
• Ability to structure loosely defined problems and move without waiting for complete information
• Experience working cross-functionally without formal authority in a matrixed organization
Accountability and Practicality
• Track record of shipping solutions that are adopted, sustained, and measurably effective
• Strong instincts around validation, risk calibration, and iteration
• Ownership mentality: you don’t consider something done until it works reliably in the hands of the team that owns it
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