AI Engineer, AiDP

AppleCA
78d

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!

Requirements

  • 2+ years with a Master’s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications.
  • 1+ years 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

  • Partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities.
  • Translate AI opportunities into scalable architectures and ensure successful deployment into production environments.
  • Empower Sales and Sales Finance organizations through cross-functional collaboration.
  • Communicate complex AI concepts to senior leadership, cross-functional peers, and non-technical partners.
  • Take full ownership of work from idea to execution in a fast-paced environment.
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