VF Corporation
Overview
VF Corporation is looking for an exceptional AI & Agentic Delivery Manager, to join our offices in Costa Mesa, California. 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. Responsibilities
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 stakeholder engagement skills across engineering, UX, legal, and operations, with a track record of leading agile, cross-disciplinary teams. LLM Ecosystem & Vendor Management: Experience evaluating and integrating with external LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock) and managing platform interoperability. Consulting and Retail/Fashion background will be considered a plus What’s In It For You
VF is a global apparel company connecting people to the lifestyles they cherish through our family of iconic brands. This is our purpose. It’s the reason we come to work every day. Our purpose unites us and leads us to pursue our goals, together. We’re in the business of unleashing human potential, driven by the ideas, energy and commitment of our people. That’s why we offer comprehensive benefits that encourage mental, physical and financial well-being for all VF associates. When it comes to benefits, we’re the total package. A supportive feedback-based culture where respect and integrity guide us in what we do An inclusive international environment where people of diverse backgrounds, lifestyles and nationalities love working together Be part of an iconic lifestyle brand in a multi brand, multi countries organization Equal Opportunity statement as provided, and notice of accommodation and fair chance ordinance. If you like what you have read and want to join our team then we would like to hear from you! Hiring Range: $138,240.00 USD - $172,800.00 USD annually Incentive Potential: This position is eligible for additional compensation awards that may include an annual incentive plan, sales incentive, or commission potential. Specific details will be provided during the recruiting and interview process. Benefits at VF Corporation: You can review a general overview of each benefit program offered on www.MyVFbenefits.com. Detailed information will be provided during the hiring process. Note: Our hiring ranges are determined from market pay data and comply with all local, state, and federal laws. Pursuant to all applicable local Fair Chance Ordinance requirements, VF will consider qualified applicants with arrest and conviction records.
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VF Corporation is looking for an exceptional AI & Agentic Delivery Manager, to join our offices in Costa Mesa, California. 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. Responsibilities
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 stakeholder engagement skills across engineering, UX, legal, and operations, with a track record of leading agile, cross-disciplinary teams. LLM Ecosystem & Vendor Management: Experience evaluating and integrating with external LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock) and managing platform interoperability. Consulting and Retail/Fashion background will be considered a plus What’s In It For You
VF is a global apparel company connecting people to the lifestyles they cherish through our family of iconic brands. This is our purpose. It’s the reason we come to work every day. Our purpose unites us and leads us to pursue our goals, together. We’re in the business of unleashing human potential, driven by the ideas, energy and commitment of our people. That’s why we offer comprehensive benefits that encourage mental, physical and financial well-being for all VF associates. When it comes to benefits, we’re the total package. A supportive feedback-based culture where respect and integrity guide us in what we do An inclusive international environment where people of diverse backgrounds, lifestyles and nationalities love working together Be part of an iconic lifestyle brand in a multi brand, multi countries organization Equal Opportunity statement as provided, and notice of accommodation and fair chance ordinance. If you like what you have read and want to join our team then we would like to hear from you! Hiring Range: $138,240.00 USD - $172,800.00 USD annually Incentive Potential: This position is eligible for additional compensation awards that may include an annual incentive plan, sales incentive, or commission potential. Specific details will be provided during the recruiting and interview process. Benefits at VF Corporation: You can review a general overview of each benefit program offered on www.MyVFbenefits.com. Detailed information will be provided during the hiring process. Note: Our hiring ranges are determined from market pay data and comply with all local, state, and federal laws. Pursuant to all applicable local Fair Chance Ordinance requirements, VF will consider qualified applicants with arrest and conviction records.
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