Unit4
Information Technology And Services
AIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“AI Engineer at Unit4. Skills: AI Engineering, Generative AI, LLM Applications, Microsoft Azure. Design AI-driven solutions. Automate business processes”
Industry & Context.
Root cause analysis; Troubleshooting
Security clearance, Customer projects access, Sensitive data access, Background checks
What They're Looking For.
Must Have
3+ years software engineering experience, 1-2 years AI/ML production experience, Production AI features experience, Enterprise environment experience, Foundation models experience, Prompt engineering experience, Tool/function calling experience, Structured outputs experience, Context management experience, Agent building experience, Copilot building experience, Multi-agent workflow experience, Azure AI workload experience, Azure OpenAI Service experience, Azure AI Foundry experience, Azure AI Search experience, Microsoft Copilot Studio experience, Production Python experience, Python typing experience, Python testing experience, Python packaging experience, Python async patterns experience, REST API design experience, Event-driven API design experience, API versioning experience, Experiment tracking experience, Model versioning experience, Prompt versioning experience, Automated evaluation experience, AI system monitoring experience, LLM provider experience, Embedded AI tooling experience
Nice to Have
Security clearance required, Background checks required
What You'll Do.
Design AI-driven solutions
Automate business processes
Improve service delivery
Build GenAI applications
Develop LLM-powered features
Build orchestration layers
Translate patterns to code
Rapidly prototype capabilities
Bring capabilities to production
Develop multi-agent systems
Expose AI capabilities
Integrate AI solutions
Integrate with enterprise platforms
Ensure designs support scale
Ensure designs support reliability
Ensure designs support change management
Contribute to responsible AI practices
Develop internal policy
Translate principles to standards
Create reusable patterns
Create reference implementations
Implement governance controls
Implement security controls
How You'll Work.
Team & Collaboration
Internal teams; Enterprise platforms
Communication Scope
Explain technical decisions
Process & Methodology
Change management
Full Job Description
Meet [Unit4](https://www.unit4.com/homepage1). With over 40 years of heritage, we’re an agile, fast growing, Cloud company that is on a mission to redefine Enterprise Resource Planning (ERP) for mid-market people-centric organisations. With our innovative, self-driving, adaptive and intuitive software, our customers can spend more time on meaningful high-value work. At the heart of what we do lies a simple yet profound purpose: Improve how people work by focusing on what truly matters. — A powerful statement that enables different priorities for different people. We’re shaping how work should feel , and we empower our people by providing them with the right tools to achieve the autonomy they need - it's what makes us unique. We're looking for an AI Engineer to design, build, and operate production-grade AI and Generative AI solutions across the company. This is a hands-on engineering role: you'll turn architecture and business requirements into working, scalable systems - including LLM applications, AI agents, RAG pipelines, and integrations with our enterprise platforms. The role has a strong emphasis on Microsoft Azure and the Microsoft Copilot ecosystem, which are our primary enterprise platforms. Key Responsibilities * Design and implement AI-driven solutions that automate business processes, reduce manual effort, and improve service delivery across the organization. * Build production-grade GenAI applications — LLM-powered features, AI agents, copilots, and orchestration layers — translating architectural patterns into working code. * Contribute to PoCs and pilots, rapidly prototyping new capabilities and bringing them to a production-ready state when validated. * Develop and integrate AI agents and multi-agent systems using established orchestration frameworks. * Build APIs and microservices that expose AI capabilities to internal teams and products, following architecture and security standards. * Integrate AI solutions with enterprise platforms (e.g., CRM, E
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