AI DevOps Engineer, AVP
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Job Description
- Landing Zone Design and Implementation: Design and manage GCP, GKE, and GitHub based landing zones using Terraform on Google Cloud Platform. Ensure that all environments for AI workloads are secure, scalable, and aligned with internal governance and compliance requirements.
- CI/CD Engineering and Automation: Build, optimize, and maintain CI/CD pipelines in GitHub Actions. Enable reliable development, testing, and deployment workflows for AI and ML applications with a focus on consistency, automation, and operational efficiency.
- AI Deployment: Plan and perform production deployments of AI models. Ensure system robustness and stability across diverse cloud production environments.
- Observability, Reliability, and Drift Management: Monitor system, agent, and model performance and maintain high reliability of AI services. Apply proactive observability practices and drive incident management activities for AI systems at scale.
- Platform Integration and Engineering: Integrate MCP servers, develop Python based tools, ETL pipelines, and microservices. Streamline the provisioning and orchestration of AI agents across OpenShift and Google Kubernetes Engine to support consistent platform wide operations.
- Standards & Compliance: Serve as the subject matter expert for the deployed AI service implementation, ensuring all solutions strictly adhere to Deutsche Bank's internal technology standards, security policies, and critical regulatory guidelines (e.g., GDPR, EU AI Act, etc.).