We are looking for an experienced AI Engineer to lead the maintenance, modernisation, and continuous improvement of production AI services.
This is a senior technical role focused on AI/ML, Generative AI, LLMs, MLOps/LLMOps, platform modernisation, governance, and production reliability.
Key Responsibilities
- Lead end-to-end AI/ML and LLM model upgrades, evaluation, testing, deployment, and validation.
- Drive modernisation of AI platforms, frameworks, APIs, cloud services, data components, and supporting technologies.
- Implement MLOps/LLMOps practices, CI/CD, model versioning, automated evaluation, monitoring, and rollback strategies.
- Ensure AI solutions meet security, responsible AI, data privacy, risk, governance, and audit requirements.
- Troubleshoot complex production issues and lead root cause analysis and corrective actions.
- Work closely with Business, Data, Technology, Architecture, Risk, and external technology partners.
Requirements
- 12–16 years of relevant experience in software engineering, AI/ML engineering, data engineering, platform engineering, or related technology roles.
- Strong expertise in AI/ML, Generative AI, LLMs, RAG, prompt engineering, and agentic workflows.
- Proficiency in Python and experience with AI/ML frameworks, model APIs, orchestration tools, and data processing libraries.
- Hands-on experience with MLOps/LLMOps, CI/CD, model registries, containerisation, and infrastructure-as-code.
- Strong understanding of APIs, microservices, databases, vector stores, IAM, security, logging, and observability.
- Experience leading enterprise-scale AI platforms and production services.
- Experience in banking, financial services, or other regulated environments is an advantage.