Manager of Artificial Intelligence

Weekday
New York, New York, United States
Full-time · Manager · Posted 5mo ago · via Workable · Last checked 4h ago
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About the role

This role is for one of the Weekday's clients Min Experience: 10 years Location: New York JobType: full-time 🚀 AI Delivery Manager 📍 NYC, NY – Onsite Only 💼 Full-Time (FTE) Opportunity 🚫 Important Notes (Read Before Applying) 📍 Must be currently local to NYC, NY ❌ Candidates outside NY will NOT be considered ❌ No relocation support available ❌ C2C and 1099 not accepted (FTE/W2 only) 📍 Onsite role / Hybrid role 🔥 About the Role We are hiring a high-impact AI Delivery Manager (10–15 years experience) to lead enterprise-level AI/ML & GenAI programs from concept to production. This role is ideal for someone who thrives in global delivery environments, manages large-scale programs, and can scale AI solutions across enterprise ecosystems. Requirements 🎯 Key Responsibilities Lead end-to-end delivery of AI/ML & GenAI initiatives (POC → Production) Manage programs across: LLM applications (RAG, Agents, Copilots) Data science & ML deployments AI-driven automation initiatives Drive program governance, KPIs, and delivery excellence Partner with senior stakeholders (CTO, CIO, Product Leaders) Manage global/distributed teams across engineering & data Ensure on-time, high-quality, cost-efficient delivery 🧠 Required Experience 10–15 years in Program/Delivery Management Proven track record managing large-scale enterprise programs Hands-on exposure to AI/ML/GenAI projects (1–3+ years) Strong experience in: Global delivery models Stakeholder management Budget & portfolio ownership Background in data platforms or enterprise systems preferred ⚙️ Technical Exposure (Preferred) GenAI tools (LangChain, LLM frameworks, AI copilots) Cloud platforms (AWS / Azure / GCP) MLOps, data pipelines, and AI architecture 💡 If you're a local NYC candidate with strong AI delivery experience, let’s connect! Must-have skills AI manager Good-to-have skills Senior AI manager

Skills

  • Machine Learning
  • Generative AI
  • Large Language Models
  • RAG
  • Stakeholder Management
  • LangChain
  • AWS
  • Microsoft Azure
  • Google Cloud
  • MLOps
  • ETL

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