Applied AI Engineer

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Convatec

5001 - 10000 employees

Founded 1978

⚕️ Healthcare Insurance

🧬 Biotechnology

Healthcare Insurance • Biotechnology

Convatec is a global medical products and technologies company focused on therapies for the management of chronic conditions. Convatec leads in advanced wound care, ostomy care, continence care, and infusion care. The company is known for its innovative solutions like Hydrofiber® Technology and FeelClean Technology™, which enhance patient outcomes by improving comfort and care in conditions such as stoma and wound management. With a holistic approach, Convatec offers products and support programs through platforms like me+, aiming to empower individuals to live confidently with their conditions.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Professional development opportunities • Flexible work arrangements

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