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Gram GroupHead of Digital Products, AI
Head of Digital Products & AI leading Gram’s digital transformation by enhancing ecommerce and ERP systems. Utilizing data - driven strategies and AI to optimize operations and growth.
About the role
- 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
- Partner with governance and data teams to ensure security, compliance, and continuous improvement through agent monitoring, user feedback, and human-in-the-loop mechanisms
Requirements
- Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or Engineering
- 4-5 years of experience in developing and managing DS/ML projects
- 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
- Ability to develop applications that understand and generate across text, image, and audio modalities
- Familiarity with data pipeline design and efficient SQL for working with large-scale, structured data systems
- Familiarity with deploying ML/GenAI models using Docker, Kubernetes, MLflow, and cloud platforms (AWS, Azure)
- Hands-on experience with tools like LangSmith, TruLens, or custom metrics to monitor hallucinations, drift, latency, and user feedback loops
- Understanding of AI safety, fairness, explainability, data privacy, and enterprise governance frameworks
- Ability to translate ambiguous business problems into GenAI solutions with clear ROI
- Proven stakeholder engagement skills across engineering, UX, legal, and operations
- Experience evaluating and integrating with external LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock)
Benefits
- 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
- Free to Be, Inclusion & Diversity
- Comprehensive benefits that encourage mental, physical and financial well-being for all VF associates
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