Snr Director, Applied Science
AI summary of the role
Senior Director leading Oracle's multimodal GenAI strategy and infrastructure at scale, spanning applied science, engineering, and operations.
What you’ll do
- Set long-range roadmap and operating model for multimodal GenAI services and supporting infrastructure.
- Lead development of capabilities across LLMs, vision-language models, image/video understanding, speech/audio, embeddings, RAG, evaluation, safety, and model lifecycle tooling.
- Own compute, networking, storage, data, and GPU/HPC capacity planning and execution for high-volume GenAI workloads.
- Establish service-level expectations, incident practices, and operational dashboards for mission-critical GenAI platforms.
What you’ll bring
- 15+ years in technology leadership, applied science, AI/ML engineering, cloud infrastructure, or distributed systems.
- Proven track record delivering production AI/ML or cloud infrastructure services at enterprise or hyperscale levels.
- Deep understanding of generative AI architectures, multimodal models, model serving, inference optimization, RAG, and ML lifecycle.
- Strong knowledge of cloud infrastructure, GPU/HPC capacity, networking, storage, observability, and security.
Technologies
multimodal GenAI · large language models · vision-language models · retrieval-augmented generation · GPU/HPC · inference optimization · model serving · ML lifecycle · OCI · distributed systems
About Oracle
Oracle sells database software, enterprise applications (ERP/HCM/CX), and Oracle Cloud Infrastructure to large enterprises and governments.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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, fi [... source excerpt omitted ...] 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, stor [... source excerpt omitted ...] cience 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, le
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