269 jobs for "Software Engineer - AI and Data Platforms"

We support ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1 ! . Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to news publishers to big, global brands. Because when advertising is done right, it benefits everyone.

We are seeking a Senior Tools Engineer to help build intelligent internal platforms, automation frameworks, and developer tools that improve quality, and engineering productivity across Apple Ads.

This is a hands-on engineering role focused on building AI/LLM-powered internal tooling and automation systems across mobile, backend, API, and data platform ecosystems. The ideal candidate combines strong software engineering fundamentals with experience building scalable automation, developer infrastructure, and full-stack engineering platforms.

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.","responsibilities":"Design and implement multi-agent testing frameworks for Apple Ads, covering UI, API, mobile, and data pipeline validations.

Architect, develop, and implement end-to-end automation solutions that streamline business integrity workflows, empowering engineering teams to operate autonomously and efficiently.

Collaborate with cross-functional partners-including product and engineering-to deliver intelligent tooling for debugging, test data setup, and actionable failure analysis.

Apply pragmatic innovation by reusing and refining proven technologies to improve development velocity and productivity.

Drive comprehensive, cross-functional validation efforts to guarantee seamless end-to-end product quality.

Develop tools that enhance developer confidence, speed, and reliability across multiple domains.

Cross-Functional Validation: Partner with engineering and cross-functional teams across Apple to validate advertising feature deliveries.

Drive the testing strategy for user-critical flows across web, mobile, and TV platforms in our advertising ecosystem.

Preferred Qualifications

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

Minimum Qualifications

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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