Senior MLOps Engineer - AI Platform

About the role

MUFG Investor Services is looking for a Senior MLOps / Platform Engineer to join its AI initiative, a high-visibility project focused on deploying and managing AI agents across the infrastructure. The role works closely with the Research & Data Science team, backend and frontend engineers and other technical teams to build a secure, scalable and cost-optimized platform for AI workloads, supporting AI Engineering and Data Science initiatives through infrastructure, operations and platform reliability.

Key responsibilities

• Design, deploy and maintain AI agents on Agent Core MCP servers and MCP gateways.
• Implement observability with OpenTelemetry for logs and traces, integrated with Datadog.
• Ensure security, high availability and cost optimization across AI platform components.
• Provide infrastructure and deployment support to AI researchers and engineering teams.
• Perform load testing, token cost measurement and resource optimization.
• Facilitate external vulnerability assessments and ensure compliance with security best practices.
• Troubleshoot platform issues and contribute to CI/CD pipelines and automation for AI deployments.
• Evaluate third-party products for hosting AI agents and assist in external audits while documenting platform architecture.
• Write automation scripts with the AWS Boto3 SDK and implement Infrastructure as Code with Terraform.

Required profile

• 5+ years of experience in platform engineering or DevOps.
• Proven platform engineering and full-stack development experience.
• Hands-on AWS experience and solid coding skills in Python, Node.js or Go.
• Knowledge of microservices, Kubernetes/EKS and cloud-native architectures.
• Familiarity with MCPs (Model Context Protocol) and AI agent frameworks.
• Preferred: experience with AI/ML platforms, high-scale distributed systems, observability for complex systems and AWS certifications.

Required skills

• DevOps, CI/CD and automation
• AWS services
• OpenTelemetry, Datadog
• Terraform, AWS Boto3
• Kubernetes / EKS

The position is listed as hybrid. Only candidates reaching the interview stage will be contacted.