The Walt Disney Company · 1 day ago
Lead AI/Machine Learning Engineer
Lake Buena Vista, FL
Full-time
Onsite
Senior Level, Lead/Staff
$172K/yr - $230K/yr
7+ years expThe Walt Disney Company is seeking a results-oriented and hands-on AI/Machine Learning Engineer to join their Decision Science + Integration consulting team. The role focuses on driving complex AI initiatives from concept through delivery, collaborating with cross-functional teams to design and implement scalable AI solutions that enhance business value.
Amusement Park and ArcadeAnimationConsumer GoodsDigital MediaE-CommerceMedia and EntertainmentMulti-level MarketingPerforming ArtsResorts
Responsibilities
Architect, design, and develop AI applications, integrating with AWS Bedrock, Google Vertex AI, Microsoft Azure, and other LLM suites
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
Design and implement effective prompts, configure LLM settings, and optimize output through prompt crafting, context engineering, RAG, fine-tuning, and other techniques
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
Act as a hands-on technical expert, guiding design decisions and ensuring adherence to best practices in AI development, LLMOps, testing, and deployment
Collaborate closely with product managers, data scientists, client teams, vendors, and other partners to define requirements, adapt plans, and ensure successful outcomes
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 advancements in Generative AI, LLMs, and related technologies
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
Qualification
Required
7 or 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 Retrieval-Augmented Generation (RAG) architectures
Familiarity with Vector Databases (e.g., Milvus, Pinecone, ChromaDB)
Expertise with AI application and agentic frameworks (e.g., LangChain, LangGraph, Google ADK, Strands Agents, OpenAI Agents SDK, CrewAI, LlamaIndex)
Experience with cloud platforms such as Google Vertex AI, AWS Bedrock, or Microsoft Azure
Strong understanding of data preprocessing techniques for LLMs, including tokenization, embedding, and feature engineering, to optimize model performance and accuracy
Proficiency in prompt engineering and context 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)
Solid understanding and practical experience applying MLOps principles and utilizing associated tools for model deployment, monitoring, and lifecycle management of both models and agents
Experience using or evaluating Large Language Models with code generation assistance tools (e.g., GitHub Copilot, Amazon Q Developer, Cursor)
Experience with traditional ML algorithms and statistical modeling techniques
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
Bachelor's degree in Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Preferred
Certification(s) in AI, machine learning, or relevant cloud platforms
Experience with multi-agent system design and orchestration
Familiarity/competency in data science topics such as statistics, optimization, and/or econometrics
Strong understanding of software development methodologies and tools including Agile, Git, CICD, MLOps/DevOps, Docker, SSH, Linux
Experience in using AWS, Databricks and Snowflake cloud data platforms
Experience in Domino Data Labs AI Platform
Demonstrated ability to develop and mentor team members, fostering a collaborative and high-performing team environment
Experience providing internal client services
Strong focus on innovation and continuous improvement, proactively seeking ways to enhance processes and outcomes
Familiarity with Disney business domain knowledge
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
The full range of medical, financial, and/or other benefits
Company
The Walt Disney Company
The Walt Disney Company started as a cartoon studio and evolves into sports coverage and television shows.
10001+ employees
H1B Sponsorship
The Walt Disney Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (63)
2023 (96)
2022 (130)
2021 (30)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$11BKey Investors
Citibank
2020-04-13Post Ipo Debt· $5B
2020-03-20Post Ipo Debt· $6B
1978-01-06IPO
Leadership Team
Christine M. McCarthy
Senior Executive Vice President & Chief Financial Officer
Jamie Power
SVP, Addressable Sales
Recent News
2026-01-08
2026-01-07
Company data provided by crunchbase