AI Engineer

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish!//n//nApple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's US Decision Intelligence (DI) team is looking for a dedicated individual who is passionate about crafting, implementing, and operating AI solutions that have a direct and measurable impact on Apple Sales and its customers. We're looking for a hands-on AI Engineer with strong software development skills and a passion for applying LLMs and ML models to real-world business problems. You'll be responsible for building, testing, and optimizing intelligent agents, retrieval pipelines, and embedded AI features across our sales data platforms./n/nThis role will operate in both capacities, to augment existing AI roadmap, as well as innovate and trailblazing new frontier tech projects, crafting AI experiences that reduce time to insights and catalyze decision making. AI is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into GenAI solutions. 7+ years of experience in ML, data engineering, or backend development, with recent focus on GenAI and LLMs./nEagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment./nAbility to lead development of AI projects from start to finish./nComfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales./nProficiency in Python (FastAPI, LangChain, or similar frameworks), prompt engineering, and RESTful API design./nHands-on experience with LLM APIs, embeddings, vector databases, and RAG workflows./nSolid grounding in data structures, async programming, and pipeline orchestration./nExperience working with monitoring and observability tools (e.g., Prometheus, OpenTelemetry, Weights & Biases)./nBias for action, curiosity, and a collaborative mindset./nFamiliarity with telemetry and evaluation frameworks for AI agents./nExperience working with data science teams on insights generation leveraging LLMs./nKnowledge of project management, productivity, and design tools such as Wrike and Sketch./nStrong time management skills with the ability to collaborate across multiple teams./nProven experience designing scalable, cloud-native platforms (e.g., AWS, GCP, or on-prem hybrid)./nAbility to balance competing priorities, long-term projects, and ad hoc requirements./nAbility to work in a fast-paced, dynamic, constantly evolving business environment./nB.S Degree in Computer Science/Engineering, or equivalent work experience. Strong experience articulating and translating business questions into AI solutions./nCommunicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences./nExperience with anomaly detection and causal inference models./nSound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership./nProven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)./nFamiliarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs./nProficiency with other complementary technologies for distributed systems architecture and asynchronous messaging, agent communication, and catching like RabbitMQ, Redis, and Valkey are preferred./nAdvanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field is preferred.

Created: 2026-03-12