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A leading financial institution seeks a Senior Forward Deployed AI engineer to design and implement advanced analytics and machine learning models. The ideal candidate will possess strong skills in context engineering, LLM knowledge, and full-stack cloud engineering. You will collaborate on complex business solutions and support operational effectiveness through analytics. This role is based in London and calls for a proactive mindset and strong stakeholder management skills.
Join Barclays as a Senior Forward Deployed AI engineer, where you'll be at the forefront to design what good looks like and move in fast iteration to prove concepts and prototypes that can be scaled later into our central platform, this role requires appetite for innovation, a can-do attitude and a hacker mindset.
To be successful as a Senior Forward Deployed AI engineer, you should have experience with:
Context & Prompt Engineering: We are looking for someone that can translate very complex prompts and tasks into an agentic workflow.
Copilot, LLM & ML Knowledge: We expect the engineer to be able to use Copilot enabled features and be able to extract features from agents to deploy in re-usable, either in an agent or in a machine learning model.
Full Stack Cloud Engineering: We are looking for an engineer that can deploy and delivery things that are platform related (MCP, Agents).
Some other highly valued skills may include:
Financial Knowledge: We are looking for someone that can talk finance and has good stake holder management, given that this is a forward engineering role, we expect some level of industry knowledge or desire.
MLOps & LLMOps: Given the fact that this is a very business facing role, it would be beneficial to know how to debug problems on real time or adjust them to the business needs.
Commercial Acumen: We are looking for someone that is able to generate more projects and use cases, at the same time we need to build good relationships with the business.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role will be based in our London office.
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.