AI Engineer
Advisory
Job Responsibilities
- ▪ Bridge experimental AI and enterprise production by delivering scalable, secure agentic workflows and measurable ROI;
- ▪ Design and maintain repeatable production pipelines for LLM-based and classical ML models with strong orchestration;
- ▪ Build and optimize integrations between AI agents and enterprise systems (Power Platform, middleware, APIs);
- ▪ Implement CI/CD/CT pipelines to monitor drift, performance, and cost-efficiency across the full MLOps lifecycle;
- ▪ Develop secure feature and dataset pipelines for fine-tuning, ensuring data sovereignty, governance, and commercial viability.
- ▪ Bachelor's in Computer Science, Software Engineering, Data Science, or a related quantitative field (e.g., Mathematics or Physics). Master's or PhD specializing in Artificial Intelligence, Machine Learning, or Computational Statistics preferred;
- ▪ 7+ years of relevant professional experience;
- ▪ Expertise across Azure ML, Data Factory, Synapse, Microsoft Fabric, Copilot Studio, Azure Functions, AKS, and Azure DevOps for building, deploying, and orchestrating scalable AI/ML and enterprise automation solutions with robust CI/CD.
Responsibilities may include but are not limited to:
Eligibility Requirements
Deadline
Send us your CVs / Resume at pk-fmlhrcareers@kpmg.com with “AI Engineer” mentioned in subject of the email latest by 9 February 2026.
