• Play a leading role in the end-to-end delivery and run lifecycle of AI products or services, utilising their skills and expertise in AI to carry out software development, testing and
operational support activities with the ability to move between these according to demand
• End-to-end accountability for a AI product or service, identifying and developing the most
appropriate AI solutions to meet customer needs as part of the Customer Journey
• Liaise with other engineers, architects and business stakeholders to understand and
drive the product or service's direction
• Establish a digital environment and automate processes to minimize variation and
ensure predictable high quality code and data
• Create technical test plans and records, including unit and integration tests, within
automated test environments to ensure code quality
• Provide support to DevOps teams working at all stages of a product or service
release/change with a strong customer focus and end-to-end journeys, ensuring they
have an excellent domain knowledge
• Working with Ops, Dev and Test Engineers to ensure operational issues (performance, operator intervention, alerting, design defect related issues, etc.) are identified and
addressed at all stages of a product or service release/change
• Provide support in identification and resolution of all incidents associated with the IT
service, as directed by leadership of the DevOps team
• Ensure service resilience, service sustainability and recovery time objectives are met for
all the software solutions delivered
• Responsible for automating the continuous integration/continuous delivery pipeline
within a DevOps Product/Service team driving a culture of continuous improvement • Keep up-to-date and have expertise on current tools, technologies and areas like cyber
security and regulations pertaining to aspects like data privacy, consent, data residency
etc. that are applicable