1958 AI Engineer (Senior)

• Design, build, and operate scalable, secure data pipelines to support MLOps and Agent Fabric workloads.
• Integrate diverse data sources and ensure robust data ingestion, transformation, and availability for ML teams.
• Collaborate with ML Engineers and AI teams to productionise models and embed data requirements into
• MLOps pipelines.
• Implement Infrastructure as Code (Terraform/Terragrunt) to provision and manage platform components.
• Build and maintain CI/CD pipelines and automated testing for data and ML deliveries.
• Ensure operational excellence through monitoring, alerting, and logging of data workflows and models.
• Participate in data modelling, schema design, and optimisation for efficient feature storage and retrieval.
• Improve data security and networking posture across the data platform in collaboration with DevOps and
• security teams.
• Enable business users and analysts by supporting data access patterns, low-code solutions, and documentation.
• Mentor and coach junior data engineers, sharing best practices in data engineering and MLOps.
• Work in an Agile delivery model, contributing to planning, estimation, and delivery of features.
• Evaluate and recommend tools and patterns for supporting agentic systems and AI-driven integrations within the Agent Fabric.

QUALIFICATIONS/EXPERIENCE:

• Degree in Data Science, Computer Science, Statistics, Engineering, or equivalent relevant experience
• Minimum of 3-5 years’ experience in data science, AI applications, or related fields with demonstrated
• stakeholder management experience
• Proven track record of designing or enabling AI/ML/Data Engineering solutions and working with cross functional delivery teams to deploy them into production.