AI Solution Engineer - Agentic AI

The successful candidate will take AI use cases from initial concept through development, integration and production deployment. This role requires strong Python engineering, enterprise integration and data-modelling experience, with a particular focus on delivering secure and scalable AI applications within a Microsoft Azure environment.,

• Design, build and deploy Agentic AI solutions into production.
• Take ownership of AI use cases from concept and prototyping through to implementation, adoption and continuous improvement.
• Develop Generative AI applications using Python and modern AI engineering frameworks.
• Build and integrate APIs connecting AI solutions with internal platforms, enterprise applications and data sources.
• Use Azure API Management to securely expose, manage and govern APIs.
• Design appropriate data models to support AI applications and integrations.
• Apply GenAI-assisted development tools and techniques throughout the software-development life cycle.
• Work closely with engineering, data, architecture and business teams to translate requirements into production-ready solutions.
  
  Strong commercial Python development experience.
• Proven experience taking Agentic AI or Generative AI applications into production.
• Strong API development and enterprise systems-integration experience.
• Hands-on experience with Azure API Management.
• Experience designing and delivering data models for enterprise applications.
• Experience building Generative AI applications using LLMs and modern AI frameworks.
• Practical experience using GenAI-assisted development tools and workflows.
• Strong software-engineering fundamentals, including testing, version control and CI/CD.