
Senior AI Enablement Engineer
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in United States.
• Collaborate with operations, sales, finance, and other non-technical teams to pinpoint manual tasks that can be automated.
• Analyze workflows to identify areas where agents can reduce time or eliminate manual, error-prone processes.
• Establish success metrics prior to development.
• Organize AI concepts into a prioritized backlog with decisions on building, enabling, or not building.
• Calculate agent operating expenses, including licensing and token usage.
• Implement agreed-upon guardrails and engage Security, IT, Legal, or Privacy teams as necessary.
• Design, construct, test, and deploy AI agents and related automation using the Claude Platform and Microsoft Copilot Studio.
• Cultivate a network of business advocates and conduct hands-on build sessions and office hours.
• Develop templates and playbooks to ensure teams can build agents securely.
• Maintain a production agent registry that includes owners, data sources, and access details.
• Assess new AI tools and provide recommendations for adoption.
• Implement safeguards for secure and privacy-conscious production deployment.
• Report directly to the Chief Product and Technology Officer.
• Created AI agents or automations in regular use utilizing low-code tools like Copilot Studio or programming languages (Python, TypeScript, and the Claude API).
• Practical experience with prompt and context design, retrieval, tool utilization, and evaluating agent outputs.
• Knowledge of the limitations of LLMs.
• Familiarity with integrating REST APIs, MCP servers, connectors, and enterprise authentication systems.
• At least four years in a client-facing technical position such as solutions engineering, solutions consulting, business analysis, automation, or platform delivery.
• Capability to understand finance or sales operations workflows and implement enhancements.
• Ability to recognize when a use case requires a security or privacy assessment.
• Proficiency in estimating agent operating costs based on Copilot credits or Claude API utilization.
• Experience facilitating workshops or training sessions for non-technical audiences.
• Strong writing skills.
• Preference for delivering small, functional agents and iterating on them rather than extensively planning large projects.
• A link or brief screen recording of a created project is required with the application.
• Cybersecurity experience is a plus.
• Experience managing an AI champions program, community of practice, or citizen developer initiative is preferred.
• Experience setting up simple AI guardrails, such as agent inventories or risk tiers, is preferred.
• Familiarity with EU data protection regulations is preferred.
• Competitive salary and bonus structure.
• Flexible working options.
• Generous leave policies, including three months of paid parental leave.
• Full coverage of employee-only insurance premiums (healthcare, dental, and vision).
• Up to 5% matched contribution for 401k.
• Opportunities for career growth and continued training.
• Involvement in industry conferences and events.
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