AI & Agentic Delivery Manager

VF Corporation is looking for an exceptional AI & Agentic Delivery Manager, to join our offices in Costa Mesa, California or Denver, Colorado

Let’s talk about the role!     

The ideal candidate will have 4-5 years of experience in AI, with a strong focus on Generative AI and Agentic. The Manager of AI & Agentic Delivery Manager is responsible for designing, developing, and orchestrating organizational enablement of intelligent autonomous agents, capable of interacting with tools, users, and digital systems to perform complex tasks. This role sits at the intersection of artificial intelligence, automation, customer-centric product design, and transformation enablement, across the value chain.

Job Details

• Community & Capability Enablement: Develop and lead a scalable community of practice to accelerate safe and distributed adoption of agentic capabilities across the organization. 
• Governance & Portfolio Management: Manage governance forums, solution portfolios, and enforce Responsible AI policies including explainability, transparency, and controls against Zombie/Shadow AI. 
• AI Literacy & Change Leadership: Champion GenAI and agentic literacy through education, frameworks, and cultural transformation initiatives across business and technical teams. 
• Use Case Evaluation & Lifecycle Oversight: Oversee agentic model lifecycles, conducting use case tiering, autonomy-permission mapping, and defining guardrails for responsible deployment. 
• Opportunity Discovery & Value Framing: Identify and shape high-impact opportunities for agent-driven automation and personalization across customer and employee journeys. 
• Agent Design & Behavior Specification: Define agent goals, tool access, collaboration patterns, memory, and reasoning behaviors for both single and multi-agent ecosystems. 
• Technical Implementation & Optimization: Design and implement autonomous workflows using platforms like LangChain, OpenAI Assistants, or CrewAI, while continuously optimizing agent performance through prompt engineering, tool-calling, and feedback loops. 
• Compliance, Monitoring & Iteration: Partner with governance and data teams to ensure security, compliance, and continuous improvement through agent monitoring, user feedback, and human-in-the-loop mechanisms. 

Skills for Success

• Education and experience: Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or Engineering, with 4-5 years of experience in developing and managing DS/ML projects. Consulting and Retail/Fashion background will be considered a plus. 
• Python & ML Libraries: Advanced Python skills with deep expertise in pandas, numpy, scikit-learn, matplotlib, and frameworks like PyTorch or TensorFlow. 
• LLM Development & Fine-Tuning: Experience in training, fine-tuning (LoRA, PEFT, full fine-tuning), and deploying large language models using open-source and proprietary architectures. 
• Prompt Engineering & In-Context Learning: Advanced prompt design and in-context learning strategies to steer generative outputs accurately and efficiently.  Retrieval-Augmented Generation (RAG) and Vector Stores: Deep understanding of combining LLMs with external knowledge sources via vector databases and embedding models.
• MCP (Model Context Protocol): Hands-on experience implementing MCP to securely connect LLMs with external apps, data sources, and tools via two‑way standardized interfaces.  Agentic AI & Orchestration: Skilled in building autonomous agents with tools like LangChain, LangGraph, AutoGen, and OpenAI GPTs, leveraging tool calling, planning, and memory. 
• Multimodal AI Integration: Ability to develop applications that understand and generate across text, image, and audio modalities. 
• Data Engineering & SQL: Familiarity with data pipeline design and efficient SQL for working with large-scale, structured data systems. 
• MLOps & Deployment: Familiarity with deploying ML/GenAI models using Docker, Kubernetes, MLflow, and cloud platforms (AWS, Azure). 
• LLM Evaluation & Observability: Hands-on experience with tools like LangSmith, TruLens, or custom metrics to monitor hallucinations, drift, latency, and user feedback loops. 
• Responsible AI & Governance: Understanding of AI safety, fairness, explainability, data privacy, and enterprise governance frameworks.
• Product Management & Business Impact: Ability to translate ambiguous business problems into GenAI solutions with clear ROI, ideally within retail, fashion, or digital transformation domains.
• Cross-Functional Leadership: Proven st