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ConvaTec Group

Develops medical devices for chronic care

Forward Deployed AI Engineer

AI Application EngineeringPosted on Nov 13
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • 4-5+ years’ experience in software engineering, AI/ML workflow delivery or systems integration, with a demonstrable track record of full-stack delivery in production AI environments.
  • At least 2 years operating in a senior or lead technical capacity, making independent architectural decisions and guiding other engineers without formal line management authority.
  • Hands-on, production-grade experience across DevOps, MLOps and AIOps - CI/CD pipeline ownership, model versioning, automated testing and live system monitoring - not as adjacent knowledge but as daily practice.
  • Strong proficiency in Python and SQL; solid REST and event-driven API integration experience including enterprise systems such as SAP (via SAP Joule) 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 - from discovery and design through to production deployment and business handover - without close technical supervision.
  • Experience working directly with business stakeholders: translating operational requirements into engineering decisions, managing expectations and owning adoption outcomes.
  • 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 certifications in Azure (e.g. Azure Developer Associate, Azure Data Engineer Associate, Azure DevOps Engineer Expert) or MLOps/AIOps are desirable.

Responsibilities

  • Partner with business stakeholders to identify opportunities and deliver AI-powered solutions that solve real business challenges.
  • Design, build and deploy AI workflows and automation solutions using Azure AI, Copilot Studio and Microsoft Fabric.
  • Integrate AI solutions with enterprise platforms, including SAP, Salesforce and other business systems.
  • Own the end-to-end delivery lifecycle, from requirements and solution design through to deployment and operational handover.
  • Implement DevOps, MLOps and monitoring practices to ensure solutions are scalable, reliable and production-ready.
  • Provide technical leadership and guidance to engineers, analysts and project teams.
  • Develop prototypes and proof-of-concepts to validate ideas and accelerate delivery.
  • Establish engineering standards, best practices and reusable patterns that support AI adoption across the organisation.
  • Ensure solutions meet security, compliance and governance requirements.
  • Drive continuous improvement by evaluating new technologies and identifying opportunities to maximise business value.

Desired Qualifications

  • 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 containerisation (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.

About the Company

ConvaTec Group

Develops medical devices for chronic care

Convatec Group provides medical devices and services for chronic care. It designs, manufactures, and distributes products across wound care, ostomy care, continence care, and infusion care for patients and healthcare providers in nearly 100 countries. Its products aim to prevent infection, protect the skin, and support safer, easier patient care, while helping health systems lower overall costs. A notable example is the compact catheter for women, which combines discreet use with reliable protection. The company employs about 10,000 people and operates under a commitment to ongoing, reliable care—’forever caring’—to meet evolving patient and system needs. The goal is to improve patient outcomes and reduce the total cost of care through clinically and economically beneficial medical devices and services.

Company size
5,001-10,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1978

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