Lead AI/Machine Learning Engineer at The Walt Disney Company

Lake Buena Vista, Florida, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, Media, TechnologyIndustries

Requirements

7+ years of combined experience designing, building, and deploying AI/ML solutions, including 1-2 years of hands-on experience with GenAI technologies
Experience with traditional ML algorithms and statistical modeling techniques
Proficiency in prompt engineering techniques and approaches
Strong proficiency in core programming languages used in AI/ML (e.g., Python)
Deep understanding of AI agent architectures, including concepts like planning, memory, and tool integration (e.g., ReAct)
Expertise with the AI/ML ecosystem, including LLM application and agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex), and supporting libraries (e.g., Pydantic, Streamlit)

Responsibilities

Design, build, and deploy complex, scalable AI solutions, including multi-step agentic workflows and multi-agent systems
Develop and orchestrate AI agents capable of complex reasoning, planning, and dynamic tool use to solve business problems
Own the end-to-end development lifecycle of AI models and applications – from implementation, rigorous testing, deployment, and operational monitoring – ensuring timely and successful completion
Write clean, maintainable, and production-ready code for AI/ML model training, evaluation, and serving
Collaborate closely with product managers, data scientists, client teams, vendors, and other partners to define requirements, adapt plans, and ensure successful outcomes
Act as a hands-on technical expert, guiding design decisions and ensuring adherence to best practices in AI development, LLMOps, testing, and deployment
Design, implement, and manage robust evaluation strategies and frameworks specifically for Large Language Models (LLMs) and the agentic systems built upon them, assessing model quality, task completion reliability, safety, and effectiveness
Identify and mitigate technical risks and roadblocks impeding project delivery
Represent the technical aspects of your initiatives with senior leaders and partners
Contribute hands-on to development and troubleshooting, especially on challenging technical problems, to ensure project momentum
Lead research and development efforts into emerging tools and technologies, with a particular focus on advances in AI, and drive their adoption where appropriate
May manage direct reports and/or lead junior team members, which include professional staff specializing in different technical disciplines and may also manage the work of further professional staff in a matrixed organization