XM

Global forex and CFD broker

AI Systems Engineer

Enterprise ApplicationsPosted on Nov 10

Full-timeNo salary listedHybrid

About the Job

Requirements

A BSc or MSc in Information Technology, Computer Science, or a related field is required.
At least 3 years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role is required.
Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint, is required.
Practical experience with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini, is required.
Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO) is required.
Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate, is required.
Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers, is required.
Experience with Azure AI Foundry, OpenAI Codex, GitHub Copilot, and AWS Bedrock is required.
Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks is required.
Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems is required.
Scripting experience using PowerShell, Python, or similar languages for automation and administration is required.
Strong analytical, troubleshooting, and problem-solving skills are required.
Excellent communication, collaboration, and documentation skills are required.
A proactive mindset, attention to detail, and commitment to continuous learning are required.

Responsibilities

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, and 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 through monitoring, optimisation, and retirement.
Develop and maintain enterprise AI connectors, including connections 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.

Desired Qualifications

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.

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!

By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

About the Company

XM

Global forex and CFD broker

XM is a forex and CFD broker that helps people trade currencies and other financial instruments online. It operates a trading platform where clients can buy and sell currencies and CFDs through account holders in multiple languages. The product works through a global team and offices; clients access markets via XM’s platform and tools, with support and services offered in over 30 languages. XM differentiates itself by its culture and people-focused approach: a large workforce (over 1,700 professionals across seven offices) and an emphasis on its values Big. Fair. Human., with programs for learning, wellbeing, diversity and inclusion, and flexible work arrangements. The company aims to be a leading global fintech provider by delivering reliable service, ongoing development for users and staff, and a strong focus on customer and employee wellbeing.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Limassol Municipality, Cyprus
Founded: 2009

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