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 involves architecting and deploying scalable internal AI solutions to automate engineering tasks and analyze high-dimensional data. Key responsibilities include integrating Large Language Models like Anthropic Claude, Mistral, and Gemini, designing multi-agent systems with persistent state management, and maintaining RAG pipelines. The candidate will utilize Python, FastAPI, and Flask to create production-scale services that handle complex engineering requests. By leveraging Agent Communication Protocols and fine-tuning models on domain-specific data, the engineer solves system optimization problems, bridging hardware engineering workflows with generative AI to improve decision-making speed and accuracy across various flagship product lines.
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).