AI Systems Engineer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 6, 2026. XM scores B on the Alion truth index.
The Role:
Our team is expanding, and we are hiring an AI Systems Engineer to help drive the adoption, integration, and governance of enterprise AI technologies across the Group Company . You will join a collaborative and forward-thinking team responsible for delivering secure, scalable, and compliant AI platforms that empower employees and enhance business operations.
As an AI Systems Engineer, you will be responsible for the administration and integration of enterprise AI platforms, the development of AI-powered agents and automations, and ensuring that AI services are secure, reliable, and aligned with the Group's technology strategy. Working closely with IT, Information Security, Product Management, and other business stakeholders, you will play a key role in delivering innovative AI solutions that support the organisation's long-term digital transformation.
The main responsibilities of the position include:
Administer, maintain, and support enterprise AI platforms, including ChatGpt Enterprise, OpenAI Platform, Anthropic Claude ,Microsoft 365 Copilot, Copilot Studio, and third-party AI services
Design, develop, and manage AI-powered agents and business automations Using OpenAI, Copilot Studio, AWS Agent Core
Collaborate with Product Management and business stakeholders to identify AI use cases, gather requirements, and deliver AI solutions that improve business processes
Manage the full lifecycle of AI agents, from design and deployment to monitoring, optimisation, and retirement
Develop and maintain enterprise AI connectors, including Connection to Microsoft Graph, Power Platform connectors, Google Workspace API, Chatgpt Custom Apps, and similar connectors
Deploy, configure, and support Model Context Protocol (MCP) servers to enable secure integration between AI platforms and enterprise systems
Manage API integrations, authentication mechanisms, and secure access using OAuth, Single Sign-On (SSO), service accounts, and related technologies
Monitor, troubleshoot, and optimise AI platforms, integrations, and automation solutions to ensure performance, reliability, and security
Collaborate with Information Security teams to implement AI governance, security controls, compliance requirements, and data protection measures
Support the development and maintenance of AI governance frameworks, approval processes, and enterprise AI standards
Manage AI platform licensing, capacity planning, usage analytics, and adoption metrics
Promote AI adoption across the Group by delivering documentation, workshops, user support, and training initiatives
Participate in AI strategy discussions, platform evaluations, and technology roadmap planning
Research and evaluate emerging AI technologies and recommend improvements that enhance business efficiency
Maintain accurate technical documentation for AI platforms, integrations, automations, and related configurations
Main requirements:
BSc/MSc in Information Technology, Computer Science, or a related field
3+ years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role
Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint
Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini
Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)
Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate
Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers
Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock
Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks
Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems
Scripting experience using PowerShell, Python, or similar languages for automation and administration
Strong analytical, troubleshooting, and problem-solving skills
Excellent communication, collaboration, and documentation skills
- A proactive mindset, strong attention to detail, and commitment to continuous learning
The following will be considered an advantage:
Experience working within multi-model enterprise AI environments
Knowledge of enterprise AI governance, compliance, and security best practices
Experience supporting AI adoption initiatives through user training and enablement
Exposure to enterprise-scale AI platform administration and operations
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect - Intro Chat with Talent Acquisition
Deep Dive - First Interview with Your Future Team
Final Connection - Final Interview