Job Description
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.
Responsibilities
- Own and deliver high-scale, multi-tenant, distributed AI services supporting LLM inference and agentic workflows
- Design and lead the development of Agentic AI systems, including orchestration frameworks, memory layers, and tool-augmented agents
- Drive architectural decisions and strategy for building intelligent, autonomous software infrastructure
- Lead and scale high-performing engineering teams, including managers and technical leads
- Build cross-functional partnerships with product, research, and platform engineering to deliver innovation at scale
- Develop and maintain product, infrastructure, and AI capability roadmaps aligned with strategic goals
- Oversee large, complex programs with clear execution frameworks and measurable milestones
- Cultivate a strong engineering culture based on ownership, curiosity, and continuous learning
- Present progress, technical strategy, and vision to executive stakeholders
Qualifications (Required)
- 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
- 12+ years of software engineering experience, including significant experience building cloud-native infrastructure
- 8+ 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
Preferred Qualifications
- Advanced degree (MS or PhD) in Computer Science, Engineering, or a related technical discipline
- 8–12 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
Disclaimer and Benefits
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only. US: Hiring Range in USD from: $122,500 - $291,800 per year. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following: medical, dental, vision insurance; disability coverage; life insurance; flexible spending accounts; pre-tax commuter benefits; 401(k) with company match; paid time off; holidays; paid sick leave; parental leave; adoption assistance; employee stock purchase plan; and voluntary benefits.
We’re committed to including people with disabilities and provide accessibility accommodations upon request. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veterans’ status.
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