Senior Software Engineer - AI Core Engineering

Senior Software Engineer - AI Core Engineering 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. Your work will emphasize common design principles, guardrails, governance, observability, and evaluation, so teams can deliver high-quality AI solutions quicklywithout reinventing the basics. 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: 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. 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. 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. 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. Required Education, Experience/Skills/Training: 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 (e.g., OpenAI, Anthropic, Claude) and frameworks such as LangChain or LangGraph. 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. Required Education: Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred), or equivalent experience. The hiring range for this position in Glendale, California is $141,900 to 190,300 per year, Seattle, WA is $148,700 to $199,400, and San Francisco, CA is $155,400 to $208,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. 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.

Created: 2026-03-04