甲骨文Principal AIML Solution Architect

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

- Own the go-to-market playbook for ad products in China — from launch planning to driving sustained advertiser adoption and revenue. - Build sales strategies that work — create positioning, competitive battle cards, and sales plays that help the field team win deals faster. - Be the voice of the market — gather frontline feedback from advertisers and sales teams, then turn it into clear recommendations that influence the product roadmap. - Lead cross-team execution — coordinate across Product, Sales, Marketing, and Services to ensure nothing falls through the cracks at launch. - Track what matters — define adoption KPIs, build dashboards, and lead business reviews with leadership using data-driven insights. - Shape the long-term vision — author strategic planning docs (3-year vision, PR/FAQs) that align leadership on where we're going and why. - Enable sales at scale — train field teams on new capabilities and partner with Marketing on localized messaging for Chinese advertisers.

OverviewJoin the Copilot Team and be at the forefront of AI-powered innovation. We are redefining the future of intelligent solutions, creating seamless connections across Windows, M365, and Azure. Our mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Our values of respect, integrity, and accountability drive our inclusive culture where everyone can thrive. #CopilotTeam ResponsibilitiesKey Responsibilities  • As a key member of the Copilot Team, you will bring your unique perspectives and expertise to drive innovative features and deliver transformative AI-powered experiences: • This is an IC role with over 70% of your time dedicated to coding and engineering design. • Manage complex projects from conception to implementation, focusing on AI-driven user interfaces and performance-optimized applications. • Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle. • Collaborate across geographies and time zones to establish best practices and develop automated processes that mitigate development risks.Investigate and debug complex performance issues in applications, ensuring optimal user experience and system efficiency. • Design and implement performance testing strategies to proactively address bottlenecks.Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users. • Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.Solve technical challenges to deliver outstanding outcomes for customers and the business. Interpersonal Skills • Ability to lead and inspire a team, fostering a positive and productive work environment. • A growth mindset, embracing challenges, learning from setbacks, and openness to feedback. • Exceptional communication skills, able to articulate complex technical concepts to varied audiences. • Confident in expressing ideas to diverse stakeholders with differing perspectives and challenges. • A strong sense of ownership and accountability, capable of managing stakeholder expectations and meeting deadlines. • Self-motivated and driven to collaborate across teams and organizations for collective success.