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.
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