AI Engineer
- Design and build production-grade AI solutions for financial services.
- Collaborate with cross-functional teams to integrate AI applications and workflows.
- Implement best practices in AI governance, security, and operational reliability.
Build Next Generation AI Platforms In Financial Services
Your new companyJoin a leading financial services organisation investing heavily in AI, data and digital transformation.
Your new roleAs an AI Engineer, you'll design, build and support production-grade AI solutions that deliver measurable business value in a regulated environment. Working closely with data, engineering, architecture and security teams, you'll:
- Develop AI applications, copilots, agents and machine learning solutions
- Build RAG solutions, enterprise search capabilities and agentic workflows
- Create reusable APIs, prompts, orchestration patterns and integration components
- Implement CI/CD pipelines, automated testing and MLOps/LLMOps practices
- Integrate AI solutions with Azure, Microsoft 365, Power Platform and enterprise platforms
- Embed responsible AI, privacy, security and governance controls into solution design
- Monitor model quality, application performance, usage, cost and operational reliability
- Contribute to engineering standards, reusable frameworks and platform capabilities
What youll need to succeed
- c. 2+ years' experience in AI Engineering, Machine Learning Engineering, Software Engineering or Data Engineering
- Strong Python development skills and experience working with REST APIs, Git and automated testing
- Proven experience building and deploying AI, ML or Generative AI solutions into production environments
- Experience with cloud platforms, containers, CI/CD and production monitoring
- Strong troubleshooting skills and experience integrating enterprise applications and data sources
- Exposure to Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, Microsoft 365 Copilot extensibility or similar AI platforms
- Experience with RAG architectures, vector databases, embeddings, AI agents and orchestration frameworks
- Knowledge of MLOps, LLMOps, AI governance, security and privacy controls
- Financial services or other regulated industry experience will be highly regarded
What youll get in return
- Opportunity to work on enterprise-scale AI and Generative AI initiatives with genuine business impact
- Exposure to modern AI technologies including RAG, agentic AI and cloud-native platforms
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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