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AI Systems Engineer at XM · Katori

Asks for

The ad says“Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini”
The ad says“Design, develop, and manage AI-powered agents and business automations Using OpenAI, Copilot Studio, AWS Agent Core”
The ad says“Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks”
The ad says“Administer, maintain, and support enterprise AI platforms, including ChatGpt Enterprise, OpenAI Platform, Anthropic Claude ,Microsoft 365 Copilot, Copilot Studio, and third-party AI services”
The ad says“Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock”
The ad says“Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock”
The ad says“Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini”
The ad says“Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini”
The ad says“Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint”
The ad says“Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini”
The ad says“Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks”
The ad says“Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint”
The ad says“Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini”
The ad says“Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock”
The ad says“Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint”
The ad says“Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems”
The ad says“Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint”
The ad says“Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini”
The ad says“Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)”
The ad says“Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers”
The ad says“Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)”
The ad says“Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini”
The ad says“Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock”
The ad says“Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate”
The ad says“Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)”
The ad says“Scripting experience using PowerShell, Python, or similar languages for automation and administration”
The ad says“Scripting experience using PowerShell, Python, or similar languages for automation and administration”
The ad says“Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)”
The ad says“Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems”
The ad says“Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint”
The ad says“Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)”

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

All applications will be treated with strict confidentiality!