Applied AI Engineer

Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care.

With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatec’s revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC).

To learn more please visit http://www.convatecgroup.com

As an Applied AI Engineer, you will work hands-on with modern AI technologies to build intelligent agents, AI workflows and automation solutions using Microsoft’s AI ecosystem. You’ll collaborate closely with business stakeholders and technical teams to develop scalable solutions that can be deployed across the organisation.

What Success Looks Like:

• AI components meet defined accuracy, reliability and latency thresholds for each deployed workflow and application.
• Safe fallback behaviour maintained across all deployed agents in production.
• Frontier techniques evaluated with clear evidence-based recommendations within agreed timescales.
• Model behaviour monitored continuously; issues identified and resolved proactively rather than reactively.
• Reusable prompt and agent design patterns adopted across multiple initiatives.
• Governance reviews pass first time with complete, well-documented AI component evidence.

About Role

• Design, build and optimise AI-powered solutions, agents and workflows that address real business challenges and deliver measurable value.
• Develop solutions using Microsoft technologies including Azure AI Foundry, Copilot Studio, Azure OpenAI and Microsoft Fabric.
• Collaborate with business stakeholders, product teams and technical colleagues to translate requirements into scalable AI and data solutions.
• Build and integrate data pipelines, APIs and enterprise data sources to enable intelligent, production-ready applications.
• Apply software engineering, data engineering and AI best practices to ensure solutions are secure, scalable and maintainable.
• Support the full solution lifecycle, including prototyping, testing, deployment, monitoring and continuous improvement.
• Implement DevOps, MLOps and AIOps practices to enable reliable deployment, observability and operational excellence.
• Contribute to the development of reusable AI capabilities, engineering standards and best practices across the AI Centre of Excellence.
• Partner with Data Engineers, UX teams and business stakeholders to drive adoption and successful delivery of AI-enabled solutions.
• Stay current with emerging AI technologies and identify opportunities to leverage new capabilities to improve business outcomes.

About You

• 4+ years’ experience in AI, ML or Data Engineering building production solutions on the Microsoft AI platform.
• Hands-on experience building agentic solutions using Microsoft Copilot Studio and Microsoft Foundry.
• Strong expertise in Azure AI and ML services including Azure Machine Learning, Azure OpenAI and Cognitive Services.
• Proficiency with Microsoft Fabric, Azure Data Factory, Synapse and Foundry for large-scale data integration.
• Solid understanding of data engineering principles - data lakes, Lakehouse (Delta/Parquet), ETL/ELT design and governance.
• Strong skills in Python, SQL and API development (REST, GraphQL).
• Experience implementing DevOps/MLOps and AIOps pipelines for deployment, testing and monitoring.

Desirable

• Experience integrating AI solutions with SAP or SAP Joule.
• Knowledge of agentic AI architectures, prompt engineering and retrieval-augmented generation (RAG).
• Experience with Power Platform, Dataverse or Power BI.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Understanding of Responsible AI, AI governance, GDPR and security compliance frameworks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or a related discipline, or equivalent practical experience.
• Azure AI certifications are highly desirable.

At Convatec, we’re pioneering trusted medical solutions to improve the lives we touch. If you’re ready to make a…