Lead AI Agent Engineer

Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions. Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures.

Job Title: Lead AI Agent Engineer
Location: Sunnyvale, CA 94085 (Hybrid)

Top 3 Required skills:
Python,
LLM,
AI agent frameworks (Google ADK, LangChain )

Years of experience in each of the must-have skills: 8 Years

Job Description -
As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple.
Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
Guide a team of engineers to build and scale sophisticated AI agents that can reason, learn, and act across diverse data landscapes.
Lead the integration of AI agents with I the Apple data and platforms ecosystem.
Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures.
Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions.

Minimum Qualification -
8 years of software development or machine learning experience.
M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
4 years of experience in a technical leadership role.
Strong programming skills in Python and applied experience with a range of LLMs.
Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
Hands-on experience developing, deploying, and operating AI agents in production.
Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.

Preferred Qualification -
A portfolio of deployed agentic systems that have delivered significant, measurable impact.
Experience in evaluation frameworks for AI agents.
Proven expertise in optimizing AI agents for latency, scalability, and cost.
A track record of thought leadership or contributions to the field of agentic AI.