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 real impact, apply today and help us bring our Forever Caring promise to life.
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A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address.
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Equal opportunities
Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.
Notice to Agency and Search Firm Representatives
Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.
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About Convatec
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 over 10,000 colleagues, we provide 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, treatment for hard to heal wounds, at-risk skin and ulcerated tissue to supporting debilitating conditions, improved patient outcomes and reduced care costs. Convatec's revenues in 2025 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.
Skills Required
- 4+ years of experience in AI, machine learning, or data engineering building production solutions on the Microsoft AI platform
- Hands-on experience building agentic solutions using Microsoft Copilot Studio and Microsoft Foundry
- 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
- Understanding of data engineering principles, including data lakes, Lakehouse, Delta or Parquet, ETL/ELT design, and governance
- Strong skills in Python, SQL, and API development using REST or GraphQL
- Experience implementing DevOps, MLOps, and AIOps pipelines for deployment, testing, and monitoring
- Bachelor's or master's degree in computer science, data science, engineering, a related discipline, or equivalent practical experience
- Experience integrating AI solutions with SAP or SAP Joule
- Knowledge of agentic AI architectures, prompt engineering, and retrieval-augmented generation
- Experience with Power Platform, Dataverse, or Power BI
- Familiarity with Docker and Kubernetes
- Understanding of Responsible AI, AI governance, GDPR, and security compliance frameworks
- Azure AI certifications
What We Do
At Convatec, #ForeverCaring is our promise to patients & healthcare providers, as we deliver pioneering trusted medical solutions to improve the lives we touch.
