(Senior) AI DevOps Engineer

19 hours ago

Slough Berkshire, United Kingdom MUFG Investor Services Full time

MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution. We are seeking a highly skilled Platform Engineer with a strong background in DevOps workflows and platform engineering best practices to join our AI initiative. This is a high-visibility project focused on deploying and managing AI agents across our infrastructure. You will work 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.
This position supports AI Engineering and Data Science initiatives by focusing on infrastructure, operations, and platform reliability. The Platform Engineer will work closely with AI Engineers and Data Scientists to ensure they have robust, scalable infrastructure to deploy their work.
Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
Ensure security, high availability, and cost optimization across all AI platform components.
Provide infrastructure and deployment support to AI researchers and engineering teams, enabling integration of cutting-edge technologies into production.
Perform load testing, token cost measurement, and optimize resource utilization.
Contribute to DevOps workflows, CI/CD pipelines, and automation for AI deployments.
Support evaluation of third-party products related to hosting AI agents or enhancing project capabilities.
Develop and execute automation scripts using the AWS Boto3 SDK to deploy, test, and validate AI platform components across multiple environments.
Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources for AI workloads, ensuring consistency and scalability.
5+ Years of experience in Platform Engineering / DevOps practice
~ Deep understanding of DevOps principles, workflows, and best practices.
~ Proven experience in platform engineering and full-stack development.
~ Hands-on experience with AWS services
~ Solid coding skills in languages commonly used for backend and automation (e.g., Python, Node.js, Go).
~ Extensive knowledge of security practices, cost optimization, and performance testing.
~ Interest and familiarity with latest trends in MCPs (Model Context Protocol) and AI agent frameworks.

Working with AI/ML platforms or deploying AI agents in production environments.
Experience in observability and monitoring for complex systems.
AWS certifications
Project Details
Opportunity to work with cutting-edge AI technologies and collaborate with leading experts.
Take a look at our careers site and you’ll find everything you’d expect working with one of the fastest-growing businesses at one of the world’s largest financial groups.

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