below marketmost similar roles pay hereabove market
This role pays more than
96%
of similar roles. Most pay
$162,000–$231,187
— the blue band above.
At the midpoint, this role pays about
$255k
versus about
$197k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Senior AI Development Engineer joins the Smart Data Ecosystem team within the System RF group to build AI/ML-powered analytics for wireless manufacturing and design data. This role focuses on transforming engineering productivity by architecting and deploying scalable internal AI solutions that solve complex system optimization problems. You will build intelligent agents to automate repetitive tasks, analyze high-dimensional data, and manage historical design intelligence. Key responsibilities include integrating Large Language Models like Claude, Mistral, and Gemini, developing multi-agent architectures with persistent state management, and maintaining RAG pipelines. Required skills include Python, FastAPI, Flask, and expertise in Agent Communication Protocols. You will oversee the full lifecycle of production-scale software, ensuring reliable model selection and intelligent routing for domain-specific engineering data.
Integrate state-of-the-art LLMs via cloud-based APIs and secure on-premise deployments.
Develop mechanisms for agents to invoke APIs, query high-dimensional databases, and interact with internal tools.
Architect and maintain advanced RAG pipelines and oversee LLM fine-tuning for domain-specific engineering data.
Lead the development of multi-agent architectures focusing on orchestration, coordination, and persistent state management.
Transition AI solutions from experimental prototypes to robust, production-scale internal services.
Implement rigorous Gen AI evaluation systems to measure performance, safety, and accuracy of deployed agents.
What we're looking for
7+ years of experience in AI/ML-related projects, with a proven track record of architecting and deploying production-scale Generative AI solutions.
Masters or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
Expert-level knowledge of multi-agent system design, including sophisticated orchestration, coordination, and persistent state management.
Strong command of Agent Communication Protocols (e.g., MCP, A2A) and frameworks for designing distributed agentic workflows.
Expert-level software development skills with a solid foundation in architectural design principles and the creation of scalable, modular systems.
Proven ability to lead cross-functional architecture discussions and translate ambitious product goals into robust technical system designs.
10+ years of professional experience in AI/ML-related projects, demonstrating a long-term track record of innovation and technical leadership (preferred).
Proficiency in Python (Core and Async) and a strong command of FastAPI or Flask for serving high-performance AI endpoints (preferred).