The Walt Disney Company

Lead AI/Machine Learning Engineer

The Walt Disney Company

full-time

Posted on:

Location Type: Hybrid

Location: Lake Buena Vista • California, Florida, New York, Washington • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $171,600 - $230,100 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonReact

About the role

  • 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.

Requirements

  • 7 + more 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).
  • Solid understanding and practical experience applying MLOps principles and utilizing associated tools for model deployment, monitoring, and lifecycle management of both models and agents.
  • Proven experience developing and deploying solutions on at least one major cloud platform (e.g., AWS, Azure, GCP).
  • Experience using or evaluating Large Language Models with code generation assistance tools (e.g., GitHub Copilot, Amazon Q Developer, Cursor).
  • Familiarity with Vector Databases (e.g., Milvus, Pinecone, ChromaDB).
  • Excellent analytical and problem-solving skills, with a proven ability to tackle complex technical challenges and navigate ambiguity.
  • Strong communication and collaboration skills, with the ability to articulate technical concepts and drive alignment across cross-functional teams to achieve delivery goals.
  • Demonstrated ability to partner effectively with a diverse set of clients and partners of varying job levels.
  • Experience working effectively in a matrixed organization where the ability to influence others is critical to success.
Benefits
  • A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI solutions designAI/ML model trainingprompt engineeringPythonMLOps principlesstatistical modeling techniquesAI agent architectureslarge language models (LLMs)cloud platform deploymentcode generation assistance tools
Soft skills
analytical skillsproblem-solving skillscommunication skillscollaboration skillsinfluencing skillsleadership skillsadaptabilitytechnical guidanceproject managementcross-functional alignment