Forward Deployed AI Engineer

As a Forward Deployed AI Engineer within Convatec’s AI Centre of Excellence, you will help turn AI opportunities into practical, production-ready solutions that improve how our business works. Embedded directly with business teams, you will take ownership of AI-enabled workflows from discovery and design through to build, testing, deployment, monitoring and handover. This is a senior, hands-on delivery role for someone who can work independently across architecture, integration, DevOps, MLOps, AIOps, data engineering and governance.

You will make technical decisions, solve complex integration challenges and ensure AI solutions are reliable, scalable and safe to run in live business environments. You will work with technologies such as Microsoft Copilot Studio, Microsoft Fabric, Azure DevOps, Azure AI Foundry and SAP Joule, helping to design, build and deploy AI workflows that connect into real operational processes across Convatec.

We are looking for someone who is comfortable being the senior technical voice on an initiative: setting standards, guiding others, managing technical risks and ensuring solutions are successfully handed over to the teams who will use and support them.

• Design, build and deploy AI-enabled workflows using Azure AI Foundry, Microsoft Copilot Studio, Microsoft Fabric and SAP Joule.
• Connect AI workflows to enterprise systems through REST APIs, event streams and Microsoft Fabric data pipelines.
• Act as the senior technical voice within embedded initiatives, setting engineering standards and guiding Applied AI Engineers and business teams.
• Plan and execute functional, regression and edge-case testing, including failure scenarios and data quality checks.
• Build timeboxed prototypes in the AI Landing Zone sandbox to test technical options and provide clear go/no-go recommendations.
• Implement and maintain CI/CD, monitor and release pipelines using Azure DevOps.
• Produce clear technical documentation and handover materials for business and operational teams.
• Make technical recommendations on workflow architecture, integration patterns, tooling choices and production readiness.

• Solid REST and event-driven API integration experience including enterprise systems such as SAP or Salesforce.
• Hands-on experience with Azure AI Foundry, Microsoft Copilot Studio and Microsoft Fabric in production delivery contexts.
• Demonstrated ability to self-direct across the full delivery lifecycle without close technical supervision.
• Experience working directly with business stakeholders, translating operational requirements into engineering decisions.

• Experience with SAP Joule or integrating agentic AI solutions with SAP business processes.
• Familiarity with AI Landing Zone design patterns, guardrails and governance frameworks.
• Experience with containerization (Docker/Kubernetes) and cloud-native deployment patterns on Azure.
• Understanding of multi-agent coordination patterns using Copilot Studio or Azure AI Foundry.
• Knowledge of healthcare data privacy requirements including GDPR or HIPAA.

• Self-directed and comfortable working through ambiguity.
• Technically credible, with the confidence to set standards and challenge approaches where needed.
• Outcome-focused, with strong ownership of delivery quality and production reliability.
• Adaptable, able to work across multiple business areas and changing priorities.
• Clear communicator, able to explain technical decisions in a way that business stakeholders can understand and act on.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems or a related field, or equivalent practical experience demonstrated through a strong delivery track record. Relevant Azure certifications (e.g. Azure Developer Associate, Azure Data Engineer Associate, Azure DevOps Engineer Expert) or MLOps/AIOps are desirable.