Agentic AI Forward Deployment Engineering Lead at Netomi transforming enterprise customer requirements into production-grade AI solutions. Collaborating with teams to ensure successful deployments and measurable business outcomes.
Responsibilities
Serve as the primary technical and delivery leader responsible for transforming enterprise customer requirements into production-grade Agentic AI solutions.
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.
Own the complete customer deployment lifecycle—from discovery and solution design to implementation, quality assurance, go-live, and continuous optimization.
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.
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.
Benefits
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.
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