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AI Enablement Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of Replicant

Replicant

51 - 200 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Replicant is a company that provides an advanced conversational AI platform designed to autonomously resolve customer service interactions. Their technology helps businesses enhance efficiency and customer satisfaction by resolving up to 80% of customer inquiries without the need for additional agents. The platform excels in reducing handle times, improving CSAT scores, and decreasing agent turnover. Replicant's solutions are utilized across various industries such as insurance, healthcare, consumer services, retail, and transportation. The platform is enterprise-grade, offering reliable, human-sounding AI interactions with sophisticated voice and transcription capabilities, ensuring accuracy and security for their clients.

📋 Description

• Lead and optimize AI solutions inside Replicant • Build the company's AI enablement program and paved road for Claude Enterprise and Replicant's AI Operating System • Establish guidance for where systems and workflows should live, who can access them, and what they cost • Turn successful workflows into reusable skills, templates, and agent specifications • Partner with the People team on AI literacy, run office hours, and develop functional AI champions • Work with Sales, Delivery, Finance, People, and Engineering to build solutions and bridge technology gaps • Own MCP integrations, shared agents, agent identity management, and connections to commercial tools • Build continuous cost visibility for Finance, consolidate redundant tools, surface shadow AI, and reduce costs through prompt caching, model routing, and improved agent design

🎯 Requirements

• 5+ years hands-on experience as a Systems Engineer, Solutions Engineer, IT Engineer, or similar at a SaaS or cloud-native company • Experience deploying and optimizing AI tools at company scale • Consultant-style ability to diagnose problems, scope and sequence work, and set expectations before coding • Scripting and integration experience in Python, TypeScript, or shell • SDLC fundamentals • Knowledge of MCP and agent frameworks • Secure authentication experience • Retrieval experience • API integration across enterprise SaaS • Ability to learn new technologies quickly • Ability to translate workflow needs into working agents and explain solutions to stakeholders • Ability to defend project sequencing to leadership

🏖️ Benefits

• Company-wide offsites and smaller team gatherings • Conferences, books, and courses funded through a tech and learning stipend • Remote work by design with flexible calendar management • Flexible vacations • Paid sabbatical after 5 years • Comprehensive benefits • Physical and mental well-being stipend • Equity in the company

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