Weekday AI
ArtificialIntelligenceManager
“Artificial Intelligence Manager at Weekday AI. Skills: AI Delivery Manager, enterprise-level AI/ML and GenAI initiatives, global delivery settings, large-scale program management, AI solutions across complex enterprise environments. 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”
What You'll Achieve.
timely, high-quality, and cost-effective delivery
Industry & Context.
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 C2C and 1099 arrangements are not eligible
What They're Looking For.
Must Have
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)
Nice to Have
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, Preferred background in data platforms or enterprise systems
What You'll Do.
Oversee the complete delivery lifecycle of AI/ML & GenAI projects (from POC to production)
Coordinate programs involving Large Language Model (LLM) applications (RAG
Data science and machine learning deployments
AI-powered automation initiatives
Lead program governance
and excellence in delivery
Collaborate with executive stakeholders (CTO
Oversee global and distributed engineering and data teams
and cost-effective delivery
How You'll Work.
Team & Collaboration
Collaborate with executive stakeholders (CTO, CIO, Product Leaders); Oversee global and distributed engineering and data teams
Process & Methodology
Program or Delivery Management, large-scale program management, program governance, KPI tracking, excellence in delivery, timely, high-quality, and cost-effective delivery
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