Agentic AI Forward Deployment Engineering Lead

About the role

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world's largest global brands do business? Join us! As an Agentic AI Forward Deployment Engineering Lead at Netomi, you will serve as the primary technical and delivery leader responsible for transforming enterprise customer requirements into production-grade Agentic AI solutions. You will partner directly with customers to understand their business processes, design scalable AI-powered workflows, lead end-to-end implementations, and ensure successful deployments that deliver measurable business outcomes. This role sits at the intersection of Solution Architecture, Product, Delivery Management, and AI Engineering. You will own the complete customer deployment lifecycle-from discovery and solution design to implementation, quality assurance, go-live, and continuous optimization. You will work closely with Customer Success, Product, Engineering, Integration Engineers, and QA teams while acting as a trusted advisor to enterprise stakeholders throughout their AI transformation journey. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Requirements

• 6-12 years of experience in Solution Architecture, Enterprise Delivery, Implementation Consulting, Professional Services, or Technical Program Management for SaaS or AI platforms.
• Proven experience leading complex enterprise software deployments and customer implementations.
• Strong ability to gather business requirements and translate them into scalable technical solutions.
• Experience managing cross-functional delivery teams across engineering, product, QA, and customer-facing functions.
• Deep understanding of APIs, enterprise integrations, system architecture, data flows, and distributed systems.
• Excellent customer-facing communication, stakeholder management, and executive presentation skills.
• Strong project leadership and problem-solving capabilities with a focus on execution excellence.

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