AI Engineer

INFOSYS NOVA HOLDINGS LLC • Cupertino, CA

7d • Onsite

About The Position

As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems.
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 the 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Drive the technical vision and execution for a new class of intelligent agent-based systems.
• 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 the 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level