Infrastructure Lead
adm Group
WorldwideremotePosted 8 days ago
Skill Required
Infrastructure-EngineeringAI-ML-InfrastructureCloud-ArchitectureAI-Platform-EngineeringDevOps-EngineerInfrastructure-LeadInfrastructure-Team-LeadIT-Infrastructure-LeadLead-Infrastructure-EngineerInfrastructure-Operations-LeadTeam-Lead-InfrastructureHead-Of-InfrastructureCloud-Infrastructure-LeadQA-Infrastructure-LeadAI-Infrastructure-LeadMachine LearningKubernetesSharePointTerraformsecuritybuildingAzureCloudandAIFulltime
Key highlights
- Company is at a pivotal time in AI development
- Requires Kubernetes and Azure cloud architecture experience
- Key focus on MCP (Model Context Protocol) server management
- Involves securing enterprise platform integrations (Microsoft 365, SharePoint, Sage, Airtable)
- Equal opportunity employer with diversity commitments
- Role requires strong IT infrastructure collaboration and communication skills
Role overview
This is an exciting opportunity to join at a pivotal time and be a key part in shaping our AI future! The role focuses on building and maintaining the infrastructure layer that enables secure, scalable connections between intelligent AI agents and business systems. The position requires significant experience with cloud architecture, Kubernetes, and emerging AI integration frameworks, with a strong emphasis on security, governance, and cost management.
Responsibilities
- Own the infrastructure layer that connects intelligent agents securely to business systems
- Manage MCP (Model Context Protocol) servers, system access controls, and environment connections
- Support integrations with platforms including Microsoft 365, Airtable, SharePoint, and Sage
- Guide orchestration activities to support AI agent deployments
- Manage compute scaling requirements
- Ensure model training goals are achieved efficiently
- Maintain strict cost controls across AI infrastructure and environments
- Build strong, scalable, and reliable environments that support rapid deployment
- Ensure the secure and governed connection of AI agents into core enterprise platforms
- Ensure appropriate access controls and permissions are in place as agentic systems interact with live business data
Requirements
- Experience managing large-scale containerised applications using Kubernetes
- Strong knowledge and experience of cloud architecture, specifically Azure
- Confidence deploying Infrastructure as Code using tools such as Terraform
- Strong understanding of GPU provisioning
- Experience building and operating in data-heavy environments, ideally with exposure to machine learning or AI infrastructure
- Practical experience with MCP (Model Context Protocol) servers, or comparable agent orchestration and tool integration frameworks used to connect AI agents to enterprise systems
- Understanding of system access controls, identity management, and permissions management, particularly in governing AI agent access to sensitive business systems and data
- Comfortable working with IT Infrastructure teams to align AI infrastructure decisions with broader technology, security, and compliance standards
- Strong communication skills, with the ability to engage effectively with both specialist technical teams and business users
- Experience working in a fast-paced change environment
Additional details
- Equal Opportunities: adm-Indicia is proud to be an equal opportunity employer and is committed to creating a diverse environment. We recruit, employ, develop, compensate, and promote regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Should you need any reasonable adjustments made to this application process, please don't hesitate to let us know.