Job description

In this role, you will help build AI/LLM-powered internal tools that help to continuously understand signals across products, detecting risk patterns early, and enabling autonomous validation and recovery workflows. You will work on unifying fragmented solutions across multiple Apple Ads business lines into a single intelligence layer integrated with a unified validation platform, replacing bespoke tooling with a scalable and adaptive ecosystem accessible through prompts, APIs, and MCP servers. This role is focused on leveraging existing AI models and platforms to build intelligent internal developer tools rather than developing or training AI/ML models. We are looking for candidates who can operate effectively in ambiguous environments, drive clarity across complex problem spaces, and influence cross-functional teams through strong technical leadership and excellent communication skills, including experience partnering with senior engineers and engineering leadership. BS in Computer Science or related field. 10+ years of experience building scalable test automation frameworks and leading QE strategy across complex distributed systems spanning web, mobile, APIs, and data platforms Strong programming expertise in Python or Java, with deep experience in modern automation frameworks such as Playwright or Selenium, mobile testing ecosystems including iOS/XCTest/XCUITest, and distributed systems such as Hadoop, Hive, and HDFS Proven ability to drive adoption of emerging technologies such as AI/LLMs, MCP, and agentic systems to enable intelligent automation and self-serve developer workflows Expertise in debugging complex system-level issues, validating APIs and data pipelines, and driving root cause analysis across integrated services and platforms Demonstrated ability to influence engineering standards, operate effectively in ambiguous environments, and collaborate with senior engineers and engineering leadership across cross-functional teams MS preferred Experience designing AI driven or agent based automation systems, including MCP aligned architectures Experience building scalable validation strategies for data platforms, including streaming systems (Kafka, Spark) Strong background in API testing, data validation, and building self service QE platforms Experience in advertising technology or similar large scale, high complexity ecosystems Proven track record of leading cross org initiatives and driving alignment across multiple teams

Requirements

Must-haves

BS in Computer Science or related field.
10+ years of experience building scalable test automation frameworks and leading QE strategy across complex distributed systems spanning web, mobile, APIs, and data platforms
Proven ability to drive adoption of emerging technologies such as AI/LLMs, MCP, and agentic systems to enable intelligent automation and self-serve developer workflows
Expertise in debugging complex system-level issues, validating APIs and data pipelines, and driving root cause analysis across integrated services and platforms
Demonstrated ability to influence engineering standards, operate effectively in ambiguous environments, and collaborate with senior engineers and engineering leadership across cross-functional teams
Experience designing AI driven or agent based automation systems, including MCP aligned architectures
Experience building scalable validation strategies for data platforms, including streaming systems (Kafka, Spark)
Strong background in API testing, data validation, and building self service QE platforms
Experience in advertising technology or similar large scale, high complexity ecosystems
Proven track record of leading cross org initiatives and driving alignment across multiple teams

Nice-to-haves

MS preferred

Application prep

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Keywords to mirror

aillmmlpythonjavaapi

Platform: apple
Effort: medium