Currently tracking 36 active AI roles, down 10% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $112k–$409k (avg $197k).
Disney currently has 51 active AI-related job listings. The majority of these roles, 49%, are focused on agents, with data roles comprising 20% of the total. Engineering is the most frequent function for these positions. The company is actively hiring for roles that frequently mention technologies such as model serving, agent orchestration, and fine-tuning. Over the last 30 days, Disney has added 40 new AI roles, representing an 82% increase compared to the previous 30-day period.
Disney currently has 45 active AI-related roles in our index. The most common open titles are: Sr Software Engineer (3), Disney Research Studio Intern (2), Lead Machine Learning Engineer (2), Principal Software Engineer (2), Director, Decision Science AI/ML Engineering & Ops. Most positions are in Engineering and Research.
Disney's active AI hiring is concentrated in: agents (49%), data (20%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Disney is hiring AI talent in: United States (41 roles), Switzerland (2 roles), China (1 role), Argentina (1 role).
Job postings at Disney most frequently reference: model serving, agent orchestration, llm observability, rag, evals.
In the past 30 days, Disney has posted 38 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Omni-Channel Analytics Mgr This role focuses on designing, architecting, and deploying advanced AI/ML solutions, including Generative AI and multi-agent systems, using frameworks like Agentic Frameworks and MCP. It involves establishing best practices for prompt engineering, fine-tuning, and evaluation, and translating complex technical outputs into actionable insights for senior leadership. The role also includes mentoring junior team members and collaborating with cross-functional stakeholders. | AgentPost-train | 8 |
| Manager - Applied AI Manager for an Applied AI Acceleration team that embeds with business units to prototype and ship AI-powered products. This role involves leading a team of 2-4 engineers, managing end-to-end delivery of AI engagements, reviewing code, and building reusable components. The focus is on solving real business problems with AI solutions and translating between business outcomes and technical tradeoffs. |
| AgentShip |
| 8 |
| Director, Decision Science Technology Director of Decision Science Technology at Disney, responsible for leading a multi-disciplinary team to build strategic SaaS applications that deliver AI/ML and science capabilities to the business. The role involves owning the end-to-end technology stack from data ingestion to user interface, focusing on AI-powered products with embedded AI, conversational interfaces, and agentic capabilities. Requires strong leadership, architectural vision, and collaboration skills to drive innovation and operational excellence in a matrixed environment. | AgentServe | 8 |
| Sr Software Engineer Senior Software Engineer to lead the design and implementation of AI-driven systems for reliability and performance of Disney's streaming ecosystem. This includes developing agentic systems, ML models, and real-time pipelines for automated detection, root cause analysis, and proactive insights. The role involves owning architectural vision for autonomous agents, translating business needs into scalable AI solutions, and mentoring junior engineers in an AI-native environment. | AgentServe | 8 |
| Staff GenAI/ML Engineer (Emerging Tech & AI Automation) Project Hire Staff GenAI/ML Engineer role focused on exploring and prototyping Generative AI and LLM solutions for enterprise-wide transformation. Responsibilities include designing, implementing, and evaluating GenAI-enabled systems like chatbots and copilots, integrating techniques such as RAG and fine-tuning, and building reusable PoCs and platform components. The role requires strong Python, cloud, and MLOps experience, with a focus on rapid prototyping and innovation. | AgentServe | 8 |
| Senior Machine Learning Engineer, Ad Platforms Senior Machine Learning Engineer focused on generative AI (mixed media, video, LLMs, agentic applications) and traditional ML for Disney's Ad Platforms. Responsibilities include developing, optimizing, and productionizing these technologies, creating ML datasets, evaluating quality, and mentoring junior engineers. The role emphasizes innovation in advertising domains like forecasting, pricing, and targeting. | AgentPost-train | 8 |
| Lead Machine Learning Engineer, Ads Research Lead Machine Learning Engineer focused on generative AI (mixed media, video, audio, LLMs, agentic workflows) and traditional ML for ad platforms. Responsibilities include developing, optimizing, and productionizing these technologies, driving innovation, and building scalable ML systems. The role also involves mentoring junior engineers and working across various advertising domains like forecasting, pricing, and targeting. | AgentPost-train | 8 |
| VP, Analytics Engineering & DnA Operations The VP of Analytics Engineering & Operations will lead the data intelligence and analytics team for Disney Entertainment's Direct-to-Consumer business, focusing on analytics engineering, DnA operations, and AI analytics capabilities. This role involves defining strategy, overseeing semantic layer and metrics governance, advancing AI initiatives like LLM evaluation and agentic workflows, and ensuring operational excellence and scalability across Disney+, Hulu, and ESPN. | AgentEval Gate | 7 |
| Senior Principal Machine Learning Engineer, Ad Platforms Senior Principal Machine Learning Engineer for Ad Platforms at Disney. This role focuses on applying ML and AI patterns to guide ML and Research teams in creating scalable, performant models and pipelines. Responsibilities include reviewing designs, influencing roadmaps, exploring solutions, defining software/models in high throughput/low latency environments, and mentoring. Requires deep expertise in LLMs, fine-tuning, RAG, prompt engineering, embeddings, vector search, and tokenization, with experience in model optimization and inference. | AgentPost-train | 7 |
| Lead Software Engineer Lead Software Engineer for Disney Entertainment and ESPN Product & Technology, focusing on building and operating content inspection pipelines. The role involves leading the development of systems that use computer vision and VLMs to analyze media assets, extracting temporal metadata for automated inspection, validation, and enrichment. This will improve content quality, operational efficiency, and media discovery across Disney's global content ecosystem. The engineer will influence architectural direction, collaborate with teams, and ensure system reliability and scalability. | AgentData | 7 |
| Senior Machine Learning Engineer - News Senior Machine Learning Engineer focused on building and operating ML systems for personalized news content delivery across various platforms. The role involves designing and developing infrastructure for the full ML lifecycle, including data pipelines, feature engineering, training, and low-latency online serving. Key responsibilities include driving ML-driven solutions for recommendation systems, RAG, and autogenerated tagging, and ensuring scalable, impactful solutions. | AgentServe | 7 |
| Sr Software Engineer-Licensing/AI Systems Senior Software Engineer role focused on developing and deploying custom AI solutions using LLMs to automate business processes and improve business outcomes within the Disney Consumer Products - Licensing Technology organization. The role involves designing, configuring, and deploying models, integrating systems, and building web solutions, with a strong emphasis on Java, Python, and cloud technologies. | Agent | 7 |
| Lead Machine Learning Engineer Lead Machine Learning Engineer responsible for technical leadership of complex ML systems and data foundations. Builds predictive systems at scale for identity, audience, and cross-platform measurement using deep learning, genAI, or RAG. Architects scalable ML platforms, MLOps, and data foundations, ensuring privacy and compliance. | AgentServe | 7 |
| Principal Site Reliability Engineer Principal Site Reliability Engineer responsible for leading and impacting SRE culture, advocating for service level management, and designing/building/supporting products and platforms. This role will lead the adoption of AI/LLM-assisted reliability engineering, architecting and operating AI-enabled capabilities, and optimizing system reliability through advanced analytics. The role requires expertise in evaluating GPT model families, engineering RAG systems, and automating infrastructure and operations. | AgentServe | 7 |
| Senior Software Engineer - AI Core Engineering Senior AI Engineer to build AI core capabilities and tooling that accelerate teams across Ad Technology. This role blends backend engineering, LLM orchestration, and developer enablement, focusing on creating shared agents, initializers, registries, and reusable services and web applications to make AI adoption fast, safe, and cost-effective. The work emphasizes common design principles, guardrails, governance, observability, and evaluation to enable teams to deliver high-quality AI solutions quickly. | Agent | 7 |