At Oracle Cloud Infrastructure (OCI), we’re building the future of enterprise cloud with the spirit of a startup and the scale of a global technology leader. We deliver world-class cloud services that power mission-critical workloads for customers around the world.

The Generative AI Services team at OCI is an innovation-driven organization at the intersection of artificial intelligence and cloud infrastructure. We develop and operate large-scale distributed systems that leverage state-of-the-art Large Language Models (LLMs) and Agentic AI architectures to solve complex, real-world problems across industries.

We are seeking a Director of Software Engineering to lead the development of next-generation AI-powered infrastructure, with a special emphasis on Agentic AI systems — intelligent, goal-directed software entities capable of autonomous decision-making, reasoning, and collaboration.

In this role, you’ll lead globally distributed engineering teams, define architecture and platform strategies for LLM-based services and agent frameworks, and bring scalable, intelligent services to market. This is a foundational leadership opportunity to help shape the future of AI-native computing.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or Mathematics (or equivalent experience) Strong academic foundation in core computer science areas, especially operating systems, distributed systems, and compilers 10+ years of software engineering experience, including significant experience building cloud-native infrastructure 5+ years of experience leading high-performing engineering teams in global or matrixed organizations Hands-on experience in building, deploying, or integrating machine learning systems at scale Deep knowledge of distributed systems, networking, data structures, OS, and cloud architecture Strong communication, problem-solving, and strategic planning skills Demonstrated experience driving complex cross-functional engineering initiatives

Preferred Qualifications

Advanced degree (MS or PhD) in Computer Science, Engineering, or a related technical discipline 10 years of experience building or managing AI/ML systems, with recent focus on LLM infrastructure or agent-based AI architectures Proven track record in designing and operationalizing Agentic AI platforms, including dynamic memory systems, multi-agent coordination, and tool integrations Experience launching new AI-driven products or services from inception to scale in enterprise environments Practical familiarity with modern agent frameworks such as LangGraph, CrewAI, AutoGen, or equivalents Passion for solving complex technical challenges and fostering innovation in fast-moving environments Strong executive presence and ability to align engineering direction with business outcomes Excellent written and verbal communication skills