
Think Different.
AI Engineer, AI & Data Platforms (AiDP)
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.
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact!
Description
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You'll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It's a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.","responsibilities":"Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance.
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems.
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks.
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases.
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals.
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures.
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops.
Preferred Qualifications
Experience leading zero-to-one initiatives for AI product development
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus
Excellent communication skills with the ability to translate technical concepts into business terms
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications
Minimum Qualifications
2+ years industry experience with a Master's in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks
Proficiency with Python to use ML libraries (e.g., Py Torch, Tensor Flow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar)
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.)
Hands-on experience with LLM orchestration frameworks (e.g., Lang Chain, Llama Index or similar), containerization (Docker, Kubernetes or similar), and scalable APIs
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
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 $147,400 and $272,100, 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.
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Appleについて

Apple
PublicApple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.
10,001+
従業員数
Cupertino
本社所在地
$3.5T
企業価値
レビュー
10件のレビュー
3.9
10件のレビュー
ワークライフバランス
2.8
報酬
4.2
企業文化
3.6
キャリア
3.4
経営陣
3.2
72%
知人への推奨率
良い点
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
改善点
Work-life balance challenges
Fast-paced and high-stress environment
Long hours and heavy workload
給与レンジ
11,365件のデータ
Junior/L3
L2
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Data Scientist ICT2
0件のレポート
$121,979
年収総額
基本給
-
ストック
-
ボーナス
-
$103,682
$140,276
面接レビュー
レビュー3件
難易度
3.3
/ 5
期間
28-42週間
内定率
33%
体験
ポジティブ 33%
普通 0%
ネガティブ 67%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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