Job Description
The AI Engineer is a key member of IT@IFS Global IT Support, responsible for designing, building, and maintaining AI-powered agents and automation solutions that enhance service delivery across the Service Desk, Major Incident Management, Problem Management, and Escalation Management, asset management, local IT support functions. This role focuses on building intelligent AI agents and automated workflows using enterprise AI agent and automation platforms including conversational agents, autonomous agents, and business process automation, all integrated with existing platforms, data sources, and enterprise services to improve operational efficiency and end-user experience.
The AI Engineer works closely with IT Support leadership, Subject Matter Experts (SMEs), Enterprise Service management team, AI Team and product teams to translate operational requirements into working AI-enabled agents and automations. This includes configuring conversational agents, autonomous agents, and decision-support experiences grounded in enterprise knowledge sources, integrating with enterprise applications and data via standard and custom connectors, and ensuring all AI outputs and automations meet quality, accuracy, and reliability standards.
Key Responsibilities of AI Engineer
AI Solution Development
- Design and develop AI-driven features such as conversational agents, recommendation systems, and intelligent automation workflows for IT support.
- Implement AI solutions using modern frameworks, APIs, and cloud AI services.
- Translate business and technical requirements into working AI-enabled agents and automations.
Testing & Quality Assurance
- Test, debug, and validate Copilot Studio agents and Power Automate flows, etc.
- Identify and resolve issues such as hallucinations, response inconsistencies, misrouted topics, and flow/connector failures.
- Ensure AI outputs and automations meet quality, accuracy, and reliability standards.
Integration & Connectors
- Integrate agents and flows with enterprise applications and data using standard and custom connectors.
- Connect agents to knowledge sources (SharePoint, Dataverse, websites, documents) and back-end systems via APIs and custom connectors.
- Implement secure connectivity between agents, flows, and enterprise services.
Documentation & Knowledge Management
- Create technical documentation for agents and automations, including topic/flow diagrams and integration instructions.
- Maintain solution documentation and author/maker guides.
Collaboration & Stakeholder Engagement
- Work with product teams, engineers, and consultants to deliver AI capabilities aligned with business requirements.
- Participate in agile ceremonies and contribute to solution discussions.
Continuous Learning & Innovation
- Stay up to date with developments in AI technologies, tools, and frameworks.
- Experiment with emerging models and libraries.
Education:
- A degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent practical experience.
Certification:
- Microsoft certifications related to Power Platform, Copilot Studio, or Azure AI (e.g. PL-200, PL-400, AI-102) (Preferred).
Experience:
- Hands-on experience building agents in Microsoft Copilot Studio (topics, generative answers, actions).
- Experience with Power Automate (cloud flows, desktop flows/RPA, AI Builder), and familiarity with the wider Power Platform ecosystem (Dataverse, Power Apps, connectors).
- Understanding of prompt engineering and LLM integration
- Familiarity with AI frameworks and cloud AI services
- Experience designing and building multi-agent systems, including defining agent roles and boundaries, orchestrating hand-offs between specialist agents, managing shared context/state, and coordinating agent-to-agent communication (e.g. via MCP or similar protocols)
- Understanding of IT Service Management (ITSM) practices, given close collaboration with the Service Desk, Major Incident, and Problem Management teams , Asset management will be and added advantage.
Skills:
- Understanding of prompt engineering, generative AI orchestration, and knowledge grounding.
- Experience integrating with APIs and building custom connectors (such as MCP)
- Basic understanding of solution architecture and enterprise system integration.
- Programming/scripting skills (Python, JavaScript, or Power Fx) an advantage.
Tech Stack
- AI Platform: Azure AI Services, Azure AI Foundry, Azure OpenAI, CoPilot
- Backend & APIs: Python (FastAPI), Microsoft Agent Framework, MCP Tool Services, REST APIs
- Data & Analytics: Azure Data Explorer (Kusto), Azure Monitor, Azure Storage
- Frontend: React / Next.js
- Security & Identity: Microsoft Entra ID, Managed Identity, Azure Key Vault, JWT & OAuth
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.