Forward Deployment AI Engineer

Location: New York City (Hybrid) Compensation: $200,000 - $250,000 OTE Travel: Up to 30% for on-site customer engagements About the Business A high-growth SaaS business trusted by tens of thousands of IT professionals across 120+ countries, with serious traction, a clear product vision, and AI at the absolute core of what is being built. This is not a business bolting AI onto an existing product. It is a business built around the idea that IT operations can and should run autonomously, and they are already proving it at scale. Backed by strong investment, growing fast in North America, and with a product that genuinely changes how enterprise IT teams operate day to day. The Position AI is reshaping IT management, and that creates a gap between what the platform can do and what customers know how to unlock. As a Forward Deployment AI Engineer, you close that gap. You will embed directly with enterprise customers, own deployments end-to-end, build LLM-powered workflows, and drive real adoption at the coalface. This is not a support role or a solutions sales role. This is for someone with serious engineering instincts, a natural customer presence, and a bias toward building things that actually reach production and deliver outcomes. What You Will Be Doing Owning end-to-end deployment for enterprise accounts from kickoff through architecture, configuration, integration, and handoff Customising AI automations and core product capabilities to match each customer\'s environment and workflows Building and deploying LLM-powered workflows that solve real operational problems and reach production Leading technical discovery with enterprise IT stakeholders, translating architecture, constraints, and success criteria into concrete deployment plans Identifying repeatable patterns and codifying them into playbooks and templates so every deployment improves on the last Acting as the technical authority during customer engagements including on-site visits, bridging escalations between the customer, Support, and Engineering Feeding field insights directly back into Product and CX as the closest person to where the platform meets reality What We Are Looking For Strong engineering foundation in Computer Science, Software Engineering, Mathematics, Physics, or Machine Learning via degree or equivalent experience Hands-on experience building with LLMs, a solid grasp of where models fail, and something real already shipped Solid understanding of ML fundamentals including evaluation, training pipelines, and decomposing business problems into ML-solvable framing 2+ years in a customer-facing technical role across implementation, professional services, or solutions engineering Familiarity with IT infrastructure including Windows/Mac endpoints, Active Directory, Azure AD, and networking basics Willingness to travel up to 50% for on-site enterprise engagements If this sounds like your next move, get in touch. #J-18808-Ljbffr Amberes Recruitment