About this role
The AI Solutions Engineer will design, build, and deploy production-ready AI solutions for IT Operations, IS Operations, and Governance. The role involves implementing Retrieval-Augmented Generation (RAG), prompt workflows, and process automations to turn prioritized use cases into secure and maintainable AI capabilities. The engineer will work closely with with the AI Enablement Lead and operational experts to integrate AI solutions with existing enterprise platforms and knowledge sources. Key responsibilities include developing reusable technical components and monitoring, supporting, and continuously improving productive AI solutions. The technical environment involves Azure AI, Azure OpenAI, and Microsoft Copilot Studio, alongside Python and REST APIs.
Skills & technologies
Must have
- AI Agents
- Retrieval-Augmented Generation
- Prompt Engineering
- Azure AI
- Azure OpenAI
- Microsoft Copilot Studio
- Python
- REST APIs
- Microsoft 365
- GitHub
- AI Security
Read full description
Responsibilities:
- Design, build and deploy AI agents and AI-enabled solutions.
- Implement Retrieval-Augmented Generation, prompt workflows and process automations.
- Integrate AI solutions with existing applications, knowledge sources and enterprise platforms.
- Develop reusable technical components, integration patterns and implementation standards.
- Work closely with operational experts to turn use cases into production-ready solutions.
- Ensure that solutions are secure, maintainable, scalable and aligned with the wider client's AI technology stack.
- Monitor, support, and continuously improve productive AI solutions.
- Instrument solutions to measure the productivity improvements achieved.
- Hands-on experience developing and deploying AI solutions in productive environments.
- Strong knowledge of AI agents, Retrieval-Augmented Generation, and prompt engineering.
- Experience with Azure AI, Azure OpenAI, Microsoft Copilot Studio or comparable platforms.
- Strong development skills in Python and experience with REST APIs.
- Experience integrating AI solutions with Microsoft 365 and enterprise applications.
- Knowledge of workflow and automation platforms.
- Experience with GitHub, testing, monitoring, and technical documentation.
- Good understanding of AI security, access management, logging and lifecycle management.
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
- not applicable for freelancers
