AI Implementation & Support Engineer

🏢 iForce Connect · all iForce Connect jobs

📍 United States

📅 Posted 2026-08-08 · via Himalayas

🏷 Technology,AI-Implementation,Technical-Support,Solutions-Engineering,Customer-Success-Engineering,AI-Implementation-Engineer,AI-Support-Engineer,AI-ML-Support-Engineer,AI-Implementation-Specialist,AI-Implementation-Lead

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This is a remote position.
You’ll be at the forefront of the AI revolution, working with a product that is actively changing how businesses operate.

Role Overview
As an AI Implementation & Support Engineer, you will be the primary technical partner for the customers. You aren't just a troubleshooter; you are the bridge between our cutting-edge AI platform and the real-world business problems our clients face.

You will lead the charge in onboarding new customers, ensuring the system is configured for success, and provide ongoing, high-level technical support to ensure users get maximum value from the platform.

Key Responsibilities
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Implementation & Onboarding: Lead technical integration for new clients, translating their business requirements into platform configurations.

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Technical Troubleshooting: Diagnose and resolve complex issues related to performance, integrations, and system configurations.

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Customer Advocacy: Act as the "voice of the customer", identifying recurring bugs and suggesting feature enhancements.

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Strategic Support: Provide high-touch support for existing clients, utilising AI-guided tools to accelerate resolutions while maintaining a human, empathetic touch.

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The "Human Bridge": Translate technical concepts into business-friendly language for stakeholders.

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Issue Management: Document and escalate critical bugs to engineering while managing customer expectations throughout the fix lifecycle.

The Ideal Profile
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Technical DNA: Proficiency in system troubleshooting, analysis of large data volumes and basic scripting.

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AI Literacy: Understanding of ML fundamentals, AI engineering, and data workflows.

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Business Acumen: Ability to understand a client's ROI goals and align the system to meet them.

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Communication: Exceptional ability to explaincomplex system behaviours into clear, actionable insights for business users.

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Mindset: A proactive "fixer" who doesn't just close tickets but solves underlying problems.

Preferred Qualifications

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3+ years in a technical support, implementation, or solutions engineering role (SaaS experience preferred).

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Experience working with AI/ML platforms or data-heavy enterprise software.

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Familiarity with debugging tools (browser dev tools, log aggregators).

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Ability to thrive in a fast-paced, "build-as-you-go" environment.

Originally posted on Himalayas

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