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Senior AI Platform Solutions Architect, WW CSO
Senior AI Platform Solutions Architect, WW CSO-March 2024
Austin
Mar 29, 2026
About Senior AI Platform Solutions Architect, WW CSO

  Senior AI Platform Solutions Architect, WW CSO

  Austin,Texas,United States

  Sales and Business Development

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  Summary

  Posted:Jan 22, 2024

  Weekly Hours: 40

  Role Number: 200532554

  Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's WW Channel Strategy & Operations (CSO) organization focuses on developing and deploying worldwide sales programs and best practices to deliver an extraordinary customer experience in the channel and drive Apple Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at world-wide and regional levels. We are seeking an experienced AI Platform Solutions Architect to own the solution architecture and infrastructure design for our various AI & Decision Science Platforms. In this role, you will stitch together the expertise of data scientists/economists, data engineers, software developers, and product managers to deliver a high-performing, robust and industry-leading decision support engine. You will partner cross-functionally and multi-directionally with a variety of business unit leaders to understand uses cases and translate business requirements into technical solutions. As new technologies emerge, your impact will revolutionize how our channel teams use data to make decisions across every route-to-market.

  Key Qualifications

  10-15+ years of experience in designing, building, and scaling data management platforms and AI/advanced solutions at global level

  Deep experience in owning decisions around AI architectural trade-offs between data management, governance, model building, deployment and product workflows

  Practical experience in AI architecture and pipeline planning, with deep understanding of workflows associated with ML/deep learning projects and data science products (ex. a/b testing with causal inference)

  Software engineering and DevOps expertise, including workflows and tools such as Git, containers, Kubernetes, and CI/CD

  Deep expertise in data science and advanced analytics, including coding languages such as SAS, R, and Python and applied mathematics frameworks

  Practical knowledge of ML and deep learning frameworks (TensorFlow) and ML algorithms or techniques such as random forest, neural networks, etc.

  Superior verbal and written communication and presentation skills, including the ability to convey advanced technology, mathematical, and engineering concepts and considerations to leadership, business partners, and technical teams

  Description

  In this role, you will: - Own the AI architecture strategy to develop various global decision science platforms that can efficiently and effectively scale with business needs and product launches - Understand real-world use cases to design an overarching technical plan that enables engineers and data scientists to develop in an agile capacity, considering work streams across data scientists, data engineers, developers, and operations (DevOps, DataOps, MLOps) - Develop processes and products that align technical implementation with existing and future business requirements by working across business teams, data scientists, ML engineers, developers, data engineers and analysts, security/privacy professionals, and system operations - Identify the appropriate technologies to best meet both short-term and long-term business and product needs, ensuring a system where new tools can integrate with existing data management and analytic tools - Continuously audit AI tools and practices across data, models, and software engineering to iterate and improve, implement feedback mechanism to assess product success - Remain current with AI security and data regulations to ensure best practices

  Education & Experience

  Ph.D. in Computer Science, Machine Learning, or equivalent field; or - M.S. in related field with 5+ years of experience in software development and 3+ years of experience in AI solutions architectureAdditional Requirements

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  Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

  Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

  Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

  Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

  Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

  Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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