Netomi - Agentic AI Forward Deployment Engineering Lead
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. • 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.
Responsibilities
• 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 • Own the end-to-end delivery of customer deployments from kickoff through production launch. • Act as the technical delivery lead coordinating activities across Product, Engineering, Integration, QA, and Customer Success teams. • Drive project execution, milestone tracking, issue resolution, and stakeholder communication. • Ensure deployments are delivered on schedule with high quality and minimal rework. • Provide hands-on guidance during complex implementations and critical customer engagements. • 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.
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