
AI & Agentic Delivery Manager
- Costa Mesa, CA
- Permanent
- Full-time
- 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.
- 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
- 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