AI Implementation & Support Engineer
Iforce Ltd, St Luke's, Islington
AI Implementation & Support Engineer
Salary not available. View on company website.
Iforce Ltd, St Luke's, Islington
- Full time
- Permanent
- Remote working
Posted today, 3 May | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
Job ref: 8e61200a796f402bb5fef6178a9fa74e
Location ref: St Luke's, Islington
Full Job Description
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.,
- Implementation & Onboarding: Lead technical integration for new clients, translating their business requirements into platform configurations.
- Technical Troubleshooting: Diagnose and resolve complex issues related to performance, integrations, and system configurations.
- Customer Advocacy: Act as the "voice of the customer", identifying recurring bugs and suggesting feature enhancements.
- Strategic Support: Provide high-touch support for existing clients, utilising AI-guided tools to accelerate resolutions while maintaining a human, empathetic touch.
- The "Human Bridge": Translate technical concepts into business-friendly language for stakeholders.
- Issue Management: Document and escalate critical bugs to engineering while managing customer expectations throughout the fix lifecycle.
Technical DNA: Proficiency in system troubleshooting, analysis of large data volumes and basic scripting. - AI Literacy: Understanding of ML fundamentals, AI engineering, and data workflows.
- Business Acumen: Ability to understand a client's ROI goals and align the system to meet them.
- Communication: Exceptional ability to explain complex system behaviours into clear, actionable insights for business users.
- Mindset: A proactive "fixer" who doesn't just close tickets but solves underlying problems., 3+ years in a technical support, implementation, or solutions engineering role (SaaS experience preferred).
- Experience working with AI/ML platforms or data-heavy enterprise software.
- Familiarity with debugging tools (browser dev tools, log aggregators).
- Ability to thrive in a fast-paced, "build-as-you-go" environment.
You'll be at the forefront of the AI revolution, working with a product that is actively changing how businesses operate.