Lead end-to-end delivery of enterprise AI/ML and GenAI programs, managing POC-to-production deployments, global engineering and data teams, stakeholder governance, KPIs, budgets, and timely, cost-effective delivery.
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) Position
🚫 Important Information (Please Read Before Applying)
📍 Applicants must be currently residing in NYC, NY
❌ Applications from candidates outside of NY will not be considered
❌ No relocation assistance is provided
❌ Only FTE/W2 candidates will be accepted; C2C and 1099 arrangements are not eligible
📍 This is an onsite/hybrid position
🔥 About the Opportunity
We are seeking a high-impact AI Delivery Manager with 10–15 years of experience to oversee enterprise-level AI/ML and GenAI initiatives from inception through to deployment.
This position suits a professional who excels in global delivery settings, handles large-scale program management, and has the ability to implement AI solutions across complex enterprise environments.
Requirements
🎯 Primary Responsibilities
- Oversee the complete delivery lifecycle of AI/ML & GenAI projects (from POC to production)
- Coordinate programs involving:
- Large Language Model (LLM) applications (RAG, Agents, Copilots)
- Data science and machine learning deployments
- AI-powered automation initiatives
- Lead program governance, KPI tracking, and excellence in delivery
- Collaborate with executive stakeholders (CTO, CIO, Product Leaders)
- Oversee global and distributed engineering and data teams
- Ensure timely, high-quality, and cost-effective delivery
🧠 Experience Required
- 10 to 15 years of experience in Program or Delivery Management
- Demonstrated success managing large enterprise-level programs
- Practical experience with AI/ML/GenAI projects (1 to 3+ years)
- Strong expertise in:
- Global delivery frameworks
- Stakeholder engagement
- Budget management and portfolio ownership
- Preferred background in data platforms or enterprise systems
⚙️ Preferred Technical Knowledge
- Familiarity with GenAI technologies such as LangChain, LLM frameworks, and AI copilots
- Experience with cloud providers (AWS, Azure, GCP)
- Understanding of MLOps, data pipeline development, and AI system architecture
💡 If you are a local NYC professional with substantial AI delivery expertise, we invite you to connect!
Essential SkillsAI Manager
Desirable SkillsSenior AI Manager
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a data science team building scalable AI and machine learning solutions for customer-facing financial products. Develop and fine-tune NLP and large language models, manage model training, evaluation, validation, and production deployment, and partner with engineering, product, and design teams. Apply emerging generative AI technologies at scale while mentoring talent, translating technical findings into business outcomes, and delivering resilient systems for millions of customers.
Top Skills:
AWSAws UltraclustersHugging FaceLangchainLarge Language Models (Llms)LightningNatural Language Processing (Nlp)PythonPyTorchRRelational DatabasesScalaSQLVectordbs
Fintech • Machine Learning • Payments • Software • Financial Services
Lead data science for AI Foundations, developing and deploying large-scale NLP, machine learning, and generative AI solutions. Partner with software engineering, ML engineering, product, and design teams to build customer-facing applications. Train, fine-tune, evaluate, and operationalize language models and other advanced models using technologies including PyTorch, AWS, Hugging Face, LangChain, and VectorDBs. Provide technical leadership, communicate complex findings, and develop team talent.
Top Skills:
AWSAws UltraclustersDeep LearningHugging FaceLangchainLarge Language ModelsLightningMachine LearningNatural Language ProcessingPythonPyTorchRRelational DatabasesScalaSQLVectordbs
Big Data • Cloud • Software • Database
Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.
Top Skills:
Ai Agent FrameworksApi GovernanceAPIsAuthentication And AuthorizationDistributed SystemsIamMcpMongoDBMongodb AtlasMulti-Tenant PlatformsOauth
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
