Hybrid AI Delivery Manager

at Construtora Triunfo

• Job title: AI Delivery Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $138,240 - $172,800 per year
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud, Docker, Kubernetes, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Costa Mesa, United States

About the role

• AI & Agentic Delivery Manager developing and orchestrating intelligent autonomous agents at VF Corporation. Leading governance, education, and use case oversight to drive positive business impact.

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
• 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