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Head AI Platforms
Standard Chartered
Guangzhou, CN
Posted on Standard Chartered website on 14 Feb 2025 (2 months ago)
Want to be part of a team that focuses on what we can do instead of what’s already been done? This is your opportunity. From BlockChain to AWS, deep learning and AI, you’ll work with the tools and platforms that you need to be successful. You’ll have the freedom to decide the different ways you want to grow – whether that’s by gaining diverse skills on a new project or deepening your expertise on innovative tech. Join us and you’ll find diverse paths, projects and people that inspire you to think outside-the-box and change the way people everywhere experience our products and services.
Our Technology & Operations (T&O) team is the powerhouse for the Bank. We aim to go further, faster, to ensure we're agile and ready for tomorrow, today. Our diverse network enables us to innovate and build banking solutions that support communities to prosper. We're a place where talented people are encouraged to grow, learn, and thrive, to drive their own career journeys, to reach their full potential. When you work with us, you’re protecting the reputation and legacy of a 170 year organisation and building on it. We’re driven by progress and continuously evolving to ensure we’re agile and ready for tomorrow, today.
The Head of AI Platform will be responsible for architecting, developing, and maintaining a robust AI infrastructure that supports Standard Chartered’s AI and machine learning initiatives. This role demands deep expertise in infrastructure as code (IaC), Kubernetes, DevOps, and MLOps. The ideal candidate will have extensive experience with frameworks like MLFlow, Kubeflow, and RunAI, ensuring integration, deployment, and management of AI platform.
• Platform Development: Lead the design, development, and maintenance of a scalable AI and ML platform infrastructure, both on-premises and in the cloud. • Best Practices: Ensure best practices in software development, code quality, testing, and documentation. • Framework Adoption: Drive the adoption of AI and ML frameworks such as MLFlow, Kubeflow, and Unity Catalog. • Platform Security: Understand and implement platform security measures, including threat modeling and security frameworks, to protect AI and ML assets. • IT Integration: Ensure seamless integration of IT operations with the AI platform, optimizing for performance and reliability. • Infrastructure as Code: Utilize IaC principles to automate the provisioning and management of AI infrastructure using tools like Terraform. • Containerization & Kubernetes: Implement and manage containerization and orchestration using Docker and Kubernetes. • DevOps & MLOps: Understand and integrate with DevOps and MLOps practices to streamline the development, deployment, and monitoring of AI models. • Cloud & On-Premise Deployments: Manage hybrid cloud and on-premise platform deployments, ensuring scalability and efficiency. • Innovation & Improvement: Stay abreast of the latest advancements in AI, cloud computing, and infrastructure technologies, continuously improving the platform. • Collaboration: Work closely with data scientists, AI engineers, and other stakeholders to ensure the platform meets the needs of various AI projects. • Team Leadership: Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and excellence. • Strategic Planning: Develop and execute a strategic roadmap for the AI platform, aligning with the company's overall AI strategy.
• Experience: 15+ years of experience in infrastructure engineering, DevOps, and platform development, with a focus on AI and machine learning environments. • Technical Expertise: Extensive experience with infrastructure as code (IaC) tools like Terraform, containerization (Docker), and orchestration (Kubernetes). • DevOps & MLOps Skills: Strong proficiency in DevOps and MLOps practices, including CI/CD pipelines, automation frameworks, and MLFlow. • Security Knowledge: Deep understanding of threat modeling and security frameworks to protect AI and ML infrastructure. • Cloud Platforms: Expertise in cloud platforms like AWS, GCP, or Azure, and experience in managing hybrid cloud environments. • Problem-Solving: Excellent analytical and problem-solving skills, with the ability to design innovative solutions to complex challenges. • Leadership: Proven leadership and team management experience, with the ability to inspire and guide a team of engineers. • Communication: Strong interpersonal and communication skills, with the ability to effectively collaborate with cross-functional teams. • Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred.
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.