AI Engineer, AI & Data Platforms (AiDP)

Apple

2d

About The Position

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.

Requirements

• 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., PyTorch, TensorFlow, 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., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs

Nice To Haves

• 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

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees