
AI Enablement Engineer
Posted Aug 24

Posted Aug 24
This is a fully remote position, open to applicants in United States, +1 more country.
• Lead and enhance AI solutions within Replicant.
• Develop the company's AI enablement program and establish a pathway for Claude Enterprise and Replicant's AI Operating System.
• Provide guidance on the appropriate locations for systems and workflows, access permissions, and associated costs.
• Transform successful workflows into reusable skills, templates, and specifications for agents.
• Collaborate with the People team to improve AI literacy, conduct office hours, and cultivate functional AI champions.
• Work alongside Sales, Delivery, Finance, People, and Engineering to create solutions and bridge technology gaps.
• Oversee MCP integrations, shared agents, management of agent identities, and connections to commercial tools.
• Establish ongoing cost visibility for Finance, eliminate redundant tools, highlight shadow AI, and decrease costs through prompt caching, model routing, and enhanced agent design.
• A minimum of 5 years of hands-on experience as a Systems Engineer, Solutions Engineer, IT Engineer, or a similar role at a SaaS or cloud-native organization.
• Proven experience in deploying and optimizing AI tools at scale within a company.
• Consultant-like capability to identify problems, define scope and sequence of work, and set expectations prior to coding.
• Proficiency in scripting and integration using Python, TypeScript, or shell.
• Understanding of SDLC fundamentals.
• Familiarity with MCP and agent frameworks.
• Experience in secure authentication.
• Knowledge in retrieval processes.
• Experience with API integration across enterprise SaaS platforms.
• Capacity to quickly learn new technologies.
• Ability to convert workflow requirements into functional agents and communicate solutions to stakeholders.
• Competence in defending project sequencing to leadership.
• Company-wide offsites and smaller team gatherings.
• Funding for conferences, books, and courses through a tech and learning stipend.
• Designated remote work with flexible calendar management.
• Flexible vacation policies.
• Paid sabbatical after five years of service.
• Comprehensive benefits package.
• Stipend for physical and mental well-being.
• Equity options in the company.
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