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Apple

engineering opportunity

Engineering Project Manager (EPM) for GenAI, AI & Data Platforms (AiDP)

Orchestrate the delivery of complex, cross-functional GenAI and data platform initiatives to transform enterprise productivity. Facilitate technical design reviews and contribute to architectural strategy while advocating for a user-centric experience.

Sunnyvale, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

Do you love understanding every detail of how new technologies work? Join the

team that serves as Apple’s nerve center, our Information Systems and Technology

group. Here, you’ll do more than join something —you’ll add something. You will

be part of Apple’s organization driving generative AI and data platforms for

Apple enterprise. Our team champions enterprise generative AI by providing

innovative GenAI-powered platform and solutions to transform how we work. We do

this with an outstanding group of engineers, data scientists, engineering

managers, and product and program managers. We are looking for an Engineering

Project Manager (EPM), who will be instrumental in orchestrating the successful

delivery of complex, cross-functional initiatives that drive significant

business impact. Are you a project manager that thrives on working on new

technologies and fast-paced application and platform development? Do you like to

work with a multidisciplinary team working on the future of enterprise

productivity? Then we want to hear from you!

DESCRIPTION

You will play a crucial role within diverse engineering teams across multiple

layers of the technology stack, as well as critical cross-functional partners

and business units. A profound technical understanding is paramount; you will

facilitate requirements brainstorming and design review sessions, providing

challenging insights and architectural considerations to engineering

discussions. Beyond merely comprehending functionalities, you are expected to

contribute meaningfully to technical strategy and problem-solving. Furthermore,

a strong user-centric mindset is essential. You will champion the user

experience, challenging decisions and advocating for solutions that prioritize

the best outcomes for our users. You will proactively identify and mitigate

risks, remove obstacles, and foster seamless communication and collaboration

across all involved teams.

MINIMUM QUALIFICATIONS

2+ years of industry experience in an engineering role 2+ years of managing

engineering programs, bringing multiple teams together marching towards common

objectives A foundational understanding or keen interest in Generative AI

concepts; such as, Retrieval Augmented Generation (RAG), prompt engineering,

agentic AI or efficient information access strategies Demonstrated technical

acumen, capable of engaging in detailed discussions with engineers and

researchers BS in Computer Science, Engineering, or a technical field, or

international degree equivalent

PREFERRED QUALIFICATIONS

Ideally, you have one-plus years experience leading AI or ML programs in an

enterprise environment Experience with major cloud platforms (AWS, GCP, Azure)

and their ML services Familiarity with Generative AI frameworks and libraries

Your ability to navigate ambiguity in a high-stakes, fast-moving environment

with efficiency, discretion, integrity, and confidentiality is recognized by

peers and teams A self-motivated, independent, and proactive person with

exceptional interpersonal skills; demonstrated creative and critical thinking

capabilities; can quickly triage, prioritize, and lead under pressure

Outstanding communication and presentation skills, written and verbal, to all

levels of an organization

Which skills does this role require?

Engineering Project ManagementRetrieval Augmented Generation (RAG)Prompt EngineeringAgentic AITechnical StrategyRisk MitigationCross-functional LeadershipMachine LearningUser Experience AdvocacyTechnical ArchitectureGenAIAI & Data PlatformsRAGEnterprise AITechnical Project ManagementSoftware EngineeringData ScienceCloud ComputingInformation Systems and TechnologyLLMs

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