Senior AI Engineer

Apple

Software Engineering, Data Science

Cupertino, CA, USA

USD 212k-318,400 / year + Equity

Posted on Jun 16, 2026

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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. Apple'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 talented 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 Senior AI Engineer with strong software development skills and a passion for applying LLMs and Agentic workflows 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.

Design, prototype, and productionize LLM-powered applications that combine structured data, unstructured knowledge, semantic layers, and internal business logic
Build agentic AI systems that can retrieve context, reason across data sources, call tools and APIs, generate insights, and support business decision-making.
Partner with product, data science, design, engineering, and business stakeholders to translate ambiguous business problems into practical AI solutions
Build modular APIs, SDKs, and micro-services to integrate LLMs, RAG pipelines, traditional ML models, data pipelines, and enterprise systems.
Design secure and reliable integrations between LLMs, internal APIs, databases, knowledge sources, and enterprise tools.
Partner closely with data science, engineering, and sales ops to embed context-aware intelligence in decision-making tools.
Lead technical decision-making on infrastructure components, embedding safety mechanisms (e.g., autonomy sliders, grounding checks, model monitoring).
Build scalable pipelines for multi-modal agent input, memory, and semantic routing.
Collaborate closely with business teams to incorporate AI into their weekly cadences.
Balance fast experimentation with production readiness, ensuring AI capabilities are scalable, measurable, reliable, and maintainable.

10+ years of experience in ML, software engineering, or data science, with recent focus on Applied AI and LLMs.
Ability to lead development of AI projects from start to finish.
Proficiency in Python (FastAPI, LangChain, or similar frameworks), context engineering, and RESTful API design.
Hands-on experience with LLM APIs, embeddings, vector databases, and RAG workflows.
Solid grounding in data structures, async programming, and pipeline orchestration.
Experience with agent orchestration frameworks such as LangGraph, Google ADK, CrewAI, AutoGen, or similar frameworks.
Familiarity with Claude Code-style agentic engineering patterns, including subagents, hooks, MCP integrations, permissions, and session-based workflows.
Bias for action, curiosity, and a collaborative mindset.
Familiarity with telemetry and evaluation frameworks for AI agents.
Ability to design business-context layers that combine structured data, semantic definitions, user permissions, domain logic, and unstructured knowledge to produce grounded AI responses. Strong time management skills with the ability to collaborate across multiple teams.
Able to balance competing priorities, long-term projects, and ad hoc requirements.
Ability to work in a fast-paced, dynamic, constantly evolving business environment.
Comfortable with rapid prototyping, reproduction, and validation of research ideas.
We’re looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
B.S Degree in Computer Science/Engineering, or equivalent work experience

Hands-on experience building production-grade AI agents, including tool calling, routing, multi-step reasoning flows, agent handoffs, memory/session management, and human-in-the-loop patterns.
Ability to balance rapid prototyping with production readiness, especially when moving from proof-of-concept to scalable enterprise features.
Strong experience articulating and translating business questions into AI solutions.
Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
Sound 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.
Familiarity with embeddings, retrieval algorithms, knowledge graphs, vector databases, hybrid retrieval, reranking, and graph-based approaches to enterprise knowledge modeling.
Other complementary technologies for distributed systems architecture and asynchronous messaging, agent communication, and catching like RabbitMQ, Redis, and Valkey are preferred.
Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field is preferred.

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 $212,000 and $318,400, 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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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