Oracle's AI Data Platform is accelerating enterprise AI and redefining how AI applications are built. The AI Data Platform team is seeking an experienced Software Engineering Director to lead key initiatives that accelerate adoption of modern AI technologies across our AI Data Platform.  

In this highly strategic role, you will drive the design, development, and integration of state-of-the-art AI solutions. You will collaborate with stakeholders across product, engineering, and science to shape the AI Data Platform’s AI roadmap and deliver differentiated value to enterprise customers and partners. 

 

Key Responsibilities 

Build and lead a high-impact engineering team dedicated to developing and operationalizing modern AI capabilities—including Agents, GenAI models, and RAG workflows—within the Oracle AI Data Platform.  Define and execute the vision for next-generation AI services and tools that enable advanced automation, insights, and productivity for enterprise applications.  Evaluate, architect, and integrate emerging AI technologies—assessing their relevance, maturity, and impact on the AI Data Platform.  Establish best practices for scalable, secure, and robust deployment of GenAI and RAG-powered services, ensuring seamless integration with Oracle’s cloud and application ecosystem.  Shape technical strategy and influence the platform roadmap by translating market and customer requirements into actionable engineering plans.  Foster cross-functional collaboration with product, engineering, science, and enterprise customers to prototype and validate innovative AI-powered workflows.  Drive pilots and joint initiatives with strategic customers and partners to accelerate adoption of Oracle’s AI Data Platform offerings. 

Qualifications 

Proven experience leading technical innovation teams in AI/ML, cloud data platforms, or large-scale infrastructure environments.  Deep technical expertise in machine learning systems, GenAI/LLM model architectures, and development/deployment of AI agents or RAG pipelines at enterprise scale.  Demonstrated track record of delivering complex, high-impact features or platforms from concept to customer adoption and operational stability.  Strong business acumen with the ability to balance strategic vision with operational execution and customer needs.  Exceptional communication and stakeholder management skills, with the ability to influence at all levels including with enterprise customers.  Experience driving end-to-end engineering solutions in partnership with cross-functional teams, including science, engineering, and customer-facing roles.  10+ years of engineering or technical leadership experience, with significant recent leadership in AI, ML platforms, and/or data infrastructure.