Lead AI/Machine Learning Engineer

The Disney Decision Scienceanqu Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies that improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions, and drive business value.

Our team is seeking a results‑oriented and hands‑on AI/ML Engineer with passion forINE generative AI and large language models (LLMs) to design, build, and deploy critical AI initiatives that drive value for the business. You will focus on leading complex projects from concept through delivery and be responsible for designing and implementing robust, scalable AI and agentic solutions, writing production‑quality code, and collaborating with cross‑functional teams and stakeholders. This position is in‑office.

What You’ll Do:

• 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 complexOptimal 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, Retrieval‑验 Augmented Generation (RAG), fine‑tuning, and other techniques.
• Design, implement, and manage robust evaluation strategies and frameworks specifically for 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 малыш 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, focusing on advancements in generative AI, LLMs, and related technologies.
• May manage direct reports and/or lead junior team members, including professional staff specializing in different technical disciplines.

Basic Qualifications:

• 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 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.
• Proficiency in prompt engineering and context engineering techniques.
• Strong proficiency in core programming languages used in AI/ML (e.g., Python).
• Deep understanding of AI agent architectures, including planning, memory, and tool integration (e.g., ReAct).
• Solid understanding of MLOps principles and associated tools for model deployment, monitoring, and lifecycle management.
• Experience evaluating LLMs with code generation tools (e.g., GitHub Copilot, Amazon Q Developer التطبي Queen).
• Experience with traditional ML algorithms and statistical modeling techniques.
• Excellent analytical and problem‑solving skills, with a proven ability to tackle complex technical challenges.
• Strong communication and collaboration skills, able to articulate technical concepts and align cross‑functional teams.
• Demonstrated ability to partner effectively with a diverse set of clients and partners.
• Experience working effectively in a matrixed organization where influence is critical.

Preferred Qualifications:

• Certification(s) in AI, machine learning, or relevant cloud platforms.
• Experience with multi‑agent system design and orchestration.
• Familiarity with data science topics such as statistics, optimization, and/or econometrics.
• Strong understanding of software development methodologies and tools including Agile, Git, CI/CD, MLOps/DevOps, Docker, SSH, Linux.
• Experience with 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 environment.
• Experience providing internal client services.
• Strong focus on innovation and continuous improvement.
• Familiarity with Disney business domain knowledge.

Required Education:

• Bachelor’s degree in Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field, or equivalent work experience.

• Master’s degree or Ph.D. in a field such as Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field, or equivalent work experience.

Hiring ranges: Burbank, CA – $171,600 to $230,100; Seattle, WA – $179,700 to $241,000; New York, NY – $179,700 to $241,000. Base pay and additional incentives are determined by internal equity and your geographic region, job‑related knowledge,akarta skills, and experience. Compensation may include bonuses or long‑term incentive units, as well as a full range of medical, financial, and other benefits.

Disability Accommodation for Employment Applications

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans with disabilities. If you need a reasonable accommodation when applying, please visit the Disney candidate disability accommodations FAQs. We will respond only to requests related to the accessibility of the online application system.