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Senior Software Engineer - AI Core Engineering

Job in Glendale, Los Angeles County, California, 91222, USA
Listing for: The Walt Disney Company
Full Time position
Listed on 2026-05-18
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.

We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here
  • Building the future of Disney’s media:
    Our Technologists design and build the products and platforms that will power our media, advertising, and distribution businesses for years to come.
  • Reach, Scale & Impact:
    Disney’s technology and products serve as a signature doorway for fans’ connections with the company’s brands and stories—Disney+, Hulu, ESPN, ABC, ABC News, and more.
  • Innovation:
    We develop and implement groundbreaking products and techniques that shape industry norms and solve complex, distinctive technical problems.

Ad Platforms is responsible for Disney’s industry‑leading ad technology and products—driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content across all media platforms.

Job Summary

We’re hiring a Senior AI Engineer to build the AI core capabilities and tooling that accelerate teams across Ad Technology. You will create shared agents, initializers, registries, and reusable services and web applications that make it fast, safe, and cost‑effective for engineering squads to adopt AI.

This role blends backend engineering, LLM orchestration, and developer enablement. You’ll design APIs, SDKs, reusable agents, and web‑based solutions that standardize adoption, define patterns for multi‑turn interactions, and provide evaluation/traceability so teams can confidently scale AI across Disney Ad Tech.

Responsibilities And Duties Of

The Role AI Core Design & Principles
  • Define and implement shared design patterns for agents and services, including context management, retrieval, safety, and evaluation.
  • Establish reusable blueprints that standardize how AI solutions are built across Ad Tech.
Reusable Agents & Tools
  • Build production‑ready agents, initializers, and libraries for common use cases (summarization, troubleshooting, semantic extraction).
  • Develop high‑quality APIs and SDKs that simplify adoption of AI capabilities by other engineering teams.
Shared Services & Web Applications
  • Deliver core services for retrieval, memory, and orchestration, integrated with enterprise and consumer‑facing systems.
  • Create internal webapps and dashboards that expose AI capabilities, evaluation metrics, and adoption accelerators.
Safety, Governance & Observability
  • Embed guardrails, compliance checks, and prompt safety into all shared components.
  • Implement model evaluation and observability frameworks for quality, reliability, and cost monitoring at scale.
Basic Qualifications
  • 5+ years of backend or applied AI/ML engineering with a track record of building production‑grade systems.
  • Proficiency in Python (libraries, testing, packaging) and building scalable APIs or SDKs.
  • Hands‑on experience with LLM APIs (OpenAI, Anthropic, Claude) and frameworks such as Lang Chain or Lang Graph.
  • Experience integrating with enterprise AI services such as AWS Bedrock or Azure AI Foundry, including model invocation, routing, and governance integration.
  • Experience developing reusable agents, libraries, or internal tooling adopted by multiple teams.
  • Knowledge of guardrails and evaluation techniques for LLMs, including prompt safety, output validation, and quality regression testing.
  • Strong collaboration and communication skills; able to work across infra, data, security, and product teams.
Preferred Qualifications
  • Experience building AI enablement tooling (registries, agent initializers, internal frameworks) for enterprise…
Position Requirements
10+ Years work experience
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