AI Engineer
We are seeking a hands-on AI Engineer to design, build, and operate internal AI-powered solutions that significantly improve productivity across IFS.
This is an end-to-end engineering role responsible for delivering user-facing AI applications, backend AI services, enterprise copilots, and workflow automation. The role combines frontend development, AI engineering, and cloud platform integration, primarily within the Microsoft ecosystem, while remaining open to other modern development platforms and cloud technologies when appropriate.
You will work closely with stakeholders to translate business needs into secure, scalable, and maintainable AI solutions aligned with enterprise architecture, governance, and security standards.
This is not a data science role. It is an engineering role focused on building production-grade AI-powered applications.
Key Responsibilities
1. AI Solution Engineering
Translate business requirements into AI-driven technical designs and implementation plans.
Design and implement applications that leverage large language models, embeddings, and retrieval-augmented generation.
Engineer prompt strategies, grounding mechanisms, safety controls, and evaluation methods.
Integrate AI capabilities into enterprise systems and workflows.
2. Frontend Development
Design and develop modern, responsive frontend applications using React and TypeScript.
Build internal AI portals, chat interfaces, dashboards, admin panels, and configuration screens.
Implement advanced AI UX patterns including streaming responses, citations, feedback capture, and role-based controls.
Integrate frontends securely with backend APIs and enterprise authentication mechanisms.
Ensure accessibility, performance, usability, and maintainability standards.
3. Backend & AI Services
Develop backend services and APIs using Azure services or other appropriate cloud platforms.
Integrate with Azure OpenAI, Azure AI Search including vector search, or equivalent AI services.
Design secure RESTful APIs exposing AI capabilities to internal consumers.
Implement authentication and authorization standards such as OAuth2, OIDC, and managed identities.
Ensure monitoring, telemetry, logging, and operational readiness.
4. Copilot & Microsoft Ecosystem Integration
Design and build enterprise copilots using Copilot Studio.
Integrate copilots with Microsoft 365 services such as Teams and SharePoint.
Configure connectors, plugins, and grounding strategies aligned with governance requirements.
Manage lifecycle, security, and compliance considerations for copilot solutions.
5. Automation & Productivity Enablement
Build workflow automations using Power Automate, Azure Logic Apps, Power Platform, or equivalent tools.
Design AI-driven process automation for internal productivity use cases.
Integrate AI solutions into enterprise systems through APIs and orchestration layers.
6. DevOps, Governance & Continuous Improvement
Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tooling.
Containerize applications using Docker when appropriate.
Apply GenAI operational practices including prompt versioning, evaluation, monitoring, and incident management.
Maintain architecture documentation, design records, and operational procedures.
Ensure compliance with IT security standards and architectural frameworks.
Qualifications
Technical Skills
AI & LLM Engineering
Strong understanding of large language models, embeddings, vector search, and retrieval-augmented generation.
Practical experience integrating generative AI APIs into enterprise applications.
Experience implementing prompt engineering, grounding techniques, and AI evaluation strategies.
Familiarity with vector-capable databases or search platforms.
Frontend Development
Strong experience with React and TypeScript in production environments.
Experience with modern frontend tooling such as Next.js or similar frameworks.
Solid understanding of component architecture, state management, API integration, and UI performance.
Experience implementing secure authentication flows in frontend applications.
Backend & Cloud Engineering
Proficiency in Python, C#/.NET, or TypeScript/Node.js.
Experience designing and building secure REST APIs and microservices.
Strong knowledge of cloud-native architectures and service-oriented design.
Experience with Azure cloud services is highly desirable.
Experience with other cloud platforms or development ecosystems such as AWS, GCP, or other modern frameworks is also valued.
Microsoft Ecosystem & Automation
Hands-on experience with Copilot Studio.
Experience with Power Platform, Power Automate, Azure Logic Apps, or similar automation tools.
Familiarity with Microsoft 365 integrations such as Teams and SharePoint.
Strong scripting and automation skills using PowerShell, Bash, or JavaScript.
DevOps & Operational Practices
Experience with CI/CD pipelines.
Familiarity with containerization technologies such as Docker.
Understanding of monitoring, logging, and observability best practices.
Strong documentation discipline and engineering rigor.
Experience Requirements
3 to 5 years of professional software engineering experience.
At least 1 to 2 years delivering generative AI solutions in a cloud environment.
Proven experience building frontend applications for enterprise or internal platforms.
Experience integrating LLM capabilities into production systems.
Demonstrated ability to design secure, scalable, and maintainable applications.
Experience working in cross-functional, distributed teams.
Education
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
Preferred Certifications
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Azure Developer Associate (AZ-204)
Microsoft Certified: Power Platform Developer Associate (PL-400)
ITIL Foundation
Additional Information
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.