About the Company:
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!
About the Role
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.
Customer Discovery & Solution Design
- Lead workshops and discovery sessions with enterprise customers to understand business processes, operational workflows, KPIs, customer journeys, and automation opportunities.
- Translate customer requirements into scalable Agentic AI architectures and implementation strategies.
- Design end-to-end AI agent workflows including intents, reasoning flows, tool usage, integrations, escalation paths, guardrails, and governance controls.
- Create comprehensive solution blueprints, functional specifications, and implementation plans.
- Identify risks, dependencies, and technical constraints early in the engagement lifecycle.
Forward Deployment Leadership
Integration & Technical Architecture
- Define integration strategies across enterprise systems including CRMs, ticketing platforms, customer data platforms, APIs, internal tools, and third-party applications.
- Collaborate with customer engineering teams to validate technical feasibility and implementation approaches.
- Review integration designs, data flows, security requirements, authentication models, and operational readiness plans.
- Support implementation teams in troubleshooting and resolving complex technical challenges.
Quality & Deployment Excellence
- Own deployment quality and customer acceptance criteria.
- Partner with QA teams to define comprehensive test plans, validation scenarios, and success metrics.
- Conduct end-to-end workflow validation, agent behavior reviews, and production readiness assessments.
- Establish best practices for reliability, observability, governance, and performance monitoring.
- Ensure solutions meet enterprise standards for security, compliance, scalability, and auditability.
Customer Partnership & Strategic Advisory
- Serve as the trusted technical advisor for customer stakeholders across CX, Operations, Product, Digital Transformation, and Engineering teams.
- Present architectural recommendations, implementation roadmaps, and optimization opportunities.
- Guide customers on Agentic AI best practices, governance frameworks, and operating models.
- Drive executive-level discussions around automation strategy, ROI, and adoption.
Continuous Improvement
- Develop reusable deployment playbooks, implementation frameworks, and solution templates.
- Capture lessons learned and establish best practices across customer deployments.
- Collaborate with Product and Engineering teams to influence platform enhancements based on customer feedback and implementation experience.
- Stay current with advancements in Agentic AI, LLMs, workflow orchestration, and enterprise automation technologies.
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.
Experience with Conversational AI, Agentic AI, LLM-based systems, RPA, workflow automation, or customer service platforms.
Background in enterprise customer experience, contact center technologies, CRM, or ticketing platforms.
Experience working with large enterprises in airlines, BFSI, telecom, hospitality, retail, or healthcare industries.
Familiarity with AI evaluation frameworks, prompt engineering, workflow orchestration, and autonomous agent systems.
Experience scaling deployment methodologies and leading global enterprise implementations.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
