Senior Technical Project Manager - Applied AI

Lyzr, in a minute Lyzr is an enterprise software company that helps large organisations put AI agents — software that handles real tasks on its own — to work in their everyday operations. Most companies’ AI projects never move past the pilot stage; Lyzr provides the platform that takes them into dependable, day-to-day use. Today, 500+ enterprises build on Lyzr, more than 1,000 agents run live in production, and 85% of Lyzr projects reach production against an industry average of roughly 30%. Customers include Accenture, WTW, Hitachi, and Verifone, and the company recently raised $100M at a $500M valuation. About the role As a Senior Technical Project Manager on Lyzr's Applied AI team, you will own the delivery of enterprise AI agent deployments for 2–4 North American clients at a time. You'll lead the technical team, run the client relationship with executive stakeholders, and take each deployment from kickoff to production. This is a hands-on role. We need someone who can get into API integrations, data pipelines and LLM behaviour with engineers, not someone who delegates all the technical work. What you'll do Own end-to-end delivery of enterprise AI implementations for 2–4 clients at the same time Be the main delivery contact for client executives and technical stakeholders in North America Lead and guide a technical team of 8–10 engineers across scoping, build, testing and go-live Work through integration details with engineers and clients: APIs, data pipelines, cloud set-up, SSO and security reviews Plan and track LLM application work, including RAG, tool calling, evaluations and guardrails Run change control: manage scope changes, timelines and their impact on cost and delivery Manage service delivery after go-live, including SLAs, escalations and continuous improvement Report clearly on status, risks and decisions to clients and Lyzr leadership What we're looking for 8–12 years of experience, including 5+ years leading enterprise software implementations 2+ years delivering GenAI, ML or conversational AI projects Proven delivery for North American enterprise clients, with direct client-facing ownership Experience leading technical teams of 8–10 people Hands-on technical fluency in API integrations, data pipelines, SSO and security reviews Working knowledge of LLM applications: RAG, tool calling, evaluations, guardrails and handling hallucinations Experience with AWS, GCP and/or Azure Strong change control and service delivery management skills Comfortable working with US time zones and presenting to executive stakeholders Good to have Experience at an agentic or AI-native product company, or the AI practice of a digital engineering firm Notice period of 30 days or less Interview process Technical round Technical deep dive Culture fit conversation with the hiring manager