AI Systems Engineer
The Role:
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Administer, maintain, and support enterprise AI platforms, including ChatGpt Enterprise, Open Platform, Anthropic Claude ,Microsoft 365 Copilot, Copilot Studio, and third-party AI services
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Design, develop, and manage AI-powered agents and business automations Using OpenAI, Copilot Studio, AWS Agent Core
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Collaborate with Product Management and business stakeholders to identify AI use cases, gather requirements, and deliver AI solutions that improve business processes
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Manage the full lifecycle of AI agents, from design and deployment to monitoring, optimisation, and retirement
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Develop and maintain enterprise AI connectors, including Connection to Microsoft Graph, Power Platform connectors, Google Workspace API, Chatgpt Custom Apps, and similar connectors
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Deploy, configure, and support Model Context Protocol (MCP) servers to enable secure integration between AI platforms and enterprise systems
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Manage API integrations, authentication mechanisms, and secure access using OAuth, Single Sign-On (SSO), service accounts, and related technologies
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Monitor, troubleshoot, and optimise AI platforms, integrations, and automation solutions to ensure performance, reliability, and security
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Collaborate with Information Security teams to implement AI governance, security controls, compliance requirements, and data protection measures
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Support the development and maintenance of AI governance frameworks, approval processes, and enterprise AI standards
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Manage AI platform licensing, capacity planning, usage analytics, and adoption metrics
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Promote AI adoption across the Group by delivering documentation, workshops, user support, and training initiatives
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Participate in AI strategy discussions, platform evaluations, and technology roadmap planning
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Research and evaluate emerging AI technologies and recommend improvements that enhance business efficiency
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Maintain accurate technical documentation for AI platforms, integrations, automations, and related configurations
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BSc/MSc in Information Technology, Computer Science, or a related field
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3+ years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role
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Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint
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Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini
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Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)
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Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate
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Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers
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Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock
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Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks
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Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems
