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Job Description

We're a cloud technology company that provides organizations around the world with computing infrastructure and software to help them innovate, unlock efficiencies, and become more effective. We also created the world's first and only autonomous database to help organize and secure our customers' data.

Oracle Cloud Infrastructure offers higher performance, security, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud, and between cloud and on-premises and other clouds. Oracle Cloud applications provide business leaders with modern applications that help them innovate, attain sustainable growth, and become more resilient.

The work we do is not only transforming the world of business--it is helping defend governments, advance scientific and medical research, and power critical AI workloads at global scale. From nonprofits to companies of all sizes, millions of people use our tools to connect data, applications, and intelligence around the world.

As Senior Director, Multimodal GenAI and Infrastructure Management, you will lead a high-impact organization responsible for advancing Oracle's multimodal GenAI strategy and ensuring the infrastructure, capacity, reliability, governance, and operating model needed to deliver those capabilities at scale. You will partner across applied science, engineering, product, security, finance, operations, and executive stakeholders to translate research and customer needs into secure, reliable, cost-effective AI services.

Responsibilities

KEY RESPONSIBILITIES INCLUDE:

- Strategic Leadership: Set the long-range roadmap, and operating model for multimodal GenAI services and supporting infrastructure. Align investments with Oracle Cloud priorities, customer demand, model capability roadmaps, capacity plans, and executive business objectives.

- Multimodal GenAI Platform Direction: Lead development and delivery of capabilities spanning large language models, vision-language models, image and video understanding/generation, speech/audio, embeddings, retrieval-augmented generation, evaluation frameworks, safety systems, and model lifecycle tooling.

- Infrastructure and Capacity Management: Own planning and execution for the compute, networking, storage, data, inference/training at large scale, orchestration, observability, and GPU/HPC capacity required to support high-volume GenAI workloads. Drive disciplined capacity forecasting, utilization management, and cost controls.

Applied Science and Engineering Execution: Lead applied scientists, engineers, data specialists, technical program managers, and infrastructure leaders in converting research advances into production-grade services with measurable business and customer impact.

- Reliability, Performance, and Operational Excellence: Establish service-level expectations, incident practices, change management, performance benchmarks, and operational dashboards for mission-critical GenAI platforms. Ensure services meet high standards for latency, throughput, availability, scalability, and security.

- Cross-Functional Collaboration: Partner with product management, engineering, OCI infrastructure, security, legal, finance, data operations, sales, and customer teams to define requirements, resolve dependencies, and deliver end-to-end GenAI solutions.

- Governance, Safety, and Responsible AI: Ensure GenAI systems are designed and operated with appropriate controls for data handling, model access, evaluation, safety, privacy, compliance, abuse prevention, auditability, and responsible AI practices.

- Customer and Business Impact: Translate strategic customer and internal Oracle needs into scalable platform capabilities. Prioritize initiatives that improve adoption, quality, efficiency, cost-to-serve, and differentiated enterprise value.

- Budget, Vendor, and Resource Management: Manage budgets, headcount plans, vendor engagements, consumption forecasts, and cross-charge models for GenAI infrastructure and external dependencies. Make trade-offs across cost, performance, schedule, customer commitments, and risk.

- Talent and Organizational Leadership: Build, mentor, and retain a high-performing senior technical organization. Develop leaders, clarify ownership, improve execution discipline, and foster a culture of innovation, accountability, inclusion, and customer focus.

- Market and Technology Trends: Stay current on advances in GenAI, multimodal foundation models, AI infrastructure, inference optimization, GPUs/accelerators, open-source ecosystems, and competitive cloud AI offerings. Use these insights to shape Oracle's roadmap and differentiation.

Preferred Skills and Experience

- A Ph.D. or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Data Science, Computer Engineering, or a related field is preferred; equivalent industry leadership experience will be considered.

- 15+ years of experience in technology leadership, applied science, AI/ML engineering, cloud infrastructure, distributed systems, or related domains, including significant experience leading large technical organizations.

- Proven track record delivering production AI, ML, or cloud infrastructure services at enterprise or hyperscale levels, with accountability for reliability, cost, performance, and customer adoption.

- Deep understanding of generative AI architectures, multimodal models, model serving, inference optimization, data pipelines, evaluation systems, RAG, prompt/model safety, and ML lifecycle management.

- Strong knowledge of cloud infrastructure, GPU/HPC capacity, networking, storage, observability, platform operations, security, and service management for high-scale workloads.

- Demonstrated ability to manage complex budgets, capacity plans, vendor dependencies, and executive-level trade-offs in environments with rapidly changing demand and technical requirements.

- Exceptional leadership skills, including hiring, developing, and leading senior managers, principal engineers, scientists, and cross-functional teams through ambiguity and high-pressure execution.

- Strong business acumen with the ability to connect technical strategy to customer outcomes, cost structure, risk management, and Oracle's broader cloud and AI objectives.

- Excellent communication and executive presentation skills, with the ability to explain complex AI and infrastructure concepts to technical, business, finance, legal, and customer audiences.

- High judgment, ownership, and adaptability in a fast-paced environment with evolving priorities, large-scale dependencies, and mission-critical customer expectations.

Disclaimer:

**Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as i...

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