AI Operations Lead

Mission Statement: 

As the AI Operations Lead, you will be responsible for ensuring the seamless operation of AI platforms, overseeing critical infrastructure, optimizing resource utilization, and managing incidents with a proactive approach. Additionally, you will play a strategic role in forecasting future AI infrastructure needs, scaling resources efficiently, and identifying opportunities to optimize costs while maintaining high performance and availability.

Your Responsibilities:

• Overseeing the day-to-day operations of the AI platform infrastructure, including servers, databases, storage systems, network components, and associated software. This includes monitoring, maintenance, patching, and upgrades.

• Implementing and maintaining monitoring systems to track platform performance, identify bottlenecks, and optimize resource utilization. This includes proactive performance tuning and capacity planning.

• Problem management - Overview of incidents and outages, troubleshooting issues, and implementing solutions to minimize downtime. This includes root cause analysis and preventative measures.

• Collaborating with security teams to implement and maintain security measures to protect the platform and data. This includes vulnerability management, access control, and data encryption.

• Developing and testing disaster recovery and business continuity plans to ensure the platform can be recovered in the event of a major outage.

• Forecasting future infrastructure needs based on anticipated growth and usage patterns

• Identifying opportunities to reduce infrastructure costs without compromising performance or availability.

• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. 

Your Background:

• At least Bachelor’s Degree in information systems.

• 5+ years of experience in IT operations in multinational companies.

• 3+ years of experience managing or leading an application or platform, preferably in an Azure-based AI/Cloud environment.

• Experience with Azure AI & ML services (e.g., Azure Machine Learning, Databricks, Cognitive Services).

• Ability to work with virtual delivery teams as well as geographically distributed stakeholders.

• Demonstrated experience in working collaboratively in geographically dispersed team.

• Proficiency in both spoken & written English language is required.