We are seeking a Senior 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 15+ years of software engineering experience, including significant experience building cloud-native infrastructure 10+ 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 10–15 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 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 senior 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 Disclaimer:

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: $141,200 to $338,500 per annum. 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: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - M5