VF Corporation is looking to solve the problem of designing, developing, and orchestrating organizational enablement of intelligent autonomous agents capable of interacting with tools, users, and digital systems to perform complex tasks.
Requirements
- Advanced Python skills with deep expertise in pandas, numpy, scikit-learn, matplotlib, and frameworks like PyTorch or TensorFlow.
- Experience in training, fine-tuning (LoRA, PEFT, full fine-tuning), and deploying large language models using open-source and proprietary architectures.
- Advanced prompt design and in-context learning strategies to steer generative outputs accurately and efficiently.
- Deep understanding of combining LLMs with external knowledge sources via vector databases and embedding models.
- Hands-on experience implementing MCP to securely connect LLMs with external apps, data sources, and tools via two‑way standardized interfaces.
- Skilled in building autonomous agents with tools like LangChain, LangGraph, AutoGen, and OpenAI GPTs, leveraging tool calling, planning, and memory.
- Ability to develop applications that understand and generate across text, image, and audio modalities.
Responsibilities
- Develop and lead a scalable community of practice to accelerate safe and distributed adoption of agentic capabilities across the organization.
- Manage governance forums, solution portfolios, and enforce Responsible AI policies including explainability, transparency, and controls against Zombie/Shadow AI.
- Champion GenAI and agentic literacy through education, frameworks, and cultural transformation initiatives across business and technical teams.
- Oversee agentic model lifecycles, conducting use case tiering, autonomy-permission mapping, and defining guardrails for responsible deployment.
- Identify and shape high-impact opportunities for agent-driven automation and personalization across customer and employee journeys.
- Define agent goals, tool access, collaboration patterns, memory, and reasoning behaviors for both single and multi-agent ecosystems.
- 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.
Other
- 4-5 years of experience in AI, with a strong focus on Generative AI and Agentic.
- 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.
- Proven stakeholder engagement skills across engineering, UX, legal, and operations, with a track record of leading agile, cross-disciplinary teams.
- Ability to translate ambiguous business problems into GenAI solutions with clear ROI, ideally within retail, fashion, or digital transformation domains.
