AI Engineer

• Own the architecture and technical direction of AI platforms, ensuring scalability, security, and reliability.
• Define and enforce MLOps standards using SageMaker Projects, Pipelines, Registry, blue/green and shadow deployments, monitoring, drift detection, and rollback strategies.
• Ensure secure and compliant data access using IAM least privilege, KMS, and Lake Formation sharing patterns.
• Oversee CI/CD pipelines and cloud infrastructure to support AI workloads.
• Collaborate with Product Owners, Data Governance teams, and stakeholders to align platform capabilities with business objectives.
• Drive adoption of best practices for cloud architecture, deployment, and operational excellence.
• Mentor and lead technical teams in agile environments, fostering strong collaboration and technical growth.

AI Platform Tech Lead

Machine Learning Engineer, AI Engineer – Cloud Focus