Overview
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.
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 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
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 compilers15+ years of software engineering experience, including significant experience building cloud-native infrastructure10+ years of experience leading high-performing engineering teams in global or matrixed organizationsHands-on experience in building, deploying, or integrating machine learning systems at scaleDeep knowledge of distributed systems, networking, data structures, OS, and cloud architectureStrong communication, problem-solving, and strategic planning skillsDemonstrated experience driving complex cross-functional engineering initiativesPreferred Qualifications
Advanced degree (MS or PhD) in Computer Science, Engineering, or a related technical discipline10–15 years of experience building or managing AI / ML systems, with recent focus on LLM infrastructure or agent-based AI architecturesProven track record in designing and operationalizing Agentic AI platforms, including dynamic memory systems, multi-agent coordination, and tool integrationsExperience launching new AI-driven products or services from inception to scale in enterprise environmentsPractical familiarity with modern agent frameworks such as LangGraph, CrewAI, AutoGen, or equivalentsPassion for solving complex technical challenges and fostering innovation in fast-moving environmentsStrong executive presence and ability to align engineering direction with business outcomesExcellent written and verbal communication skillsDetails & 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 : $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 :
Medical, dental, and vision insurance, including expert medical opinionShort term disability and long term disabilityLife insurance and AD&DSupplemental life insurance (Employee / Spouse / Child)Health care and dependent care Flexible Spending AccountsPre-tax commuter and parking benefits401(k) Savings and Investment Plan with company matchPaid 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.11 paid holidaysPaid 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.Paid parental leaveAdoption assistanceEmployee Stock Purchase PlanFinancial planning and group legalVoluntary benefits including auto, homeowner and pet insuranceThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
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