Applied AI Engineer

Job not on LinkedIn

🕒 August 11

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Convatec

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1978

🏥 Healthcare

💼 Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

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 addressing real business challenges and delivering measurable value • Develop solutions using 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 for intelligent, production-ready applications • Apply software engineering, data engineering and AI best practices to ensure secure, scalable and maintainable solutions • Support prototyping, testing, deployment, monitoring and continuous improvement across the full solution lifecycle • Implement DevOps, MLOps and AIOps practices for reliable deployment, observability and operational excellence • Contribute 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 • Stay current with emerging AI technologies and identify opportunities to improve business outcomes • Evaluate frontier techniques and provide evidence-based recommendations • Monitor model behaviour and proactively identify and resolve issues • Maintain safe fallback behaviour across production agents • Prepare complete AI component evidence for governance reviews

🎯 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, including 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 • 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 • 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 Docker and Kubernetes • Understanding of Responsible AI, AI governance, GDPR and security compliance frameworks

🏖️ Benefits

• Equal employment opportunities • Opportunity to work with modern Microsoft AI technologies • Opportunity to develop scalable AI solutions with measurable business value • Professional contribution to reusable AI capabilities, engineering standards and best practices