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Senior Forward Deployed AI engineer

at Barclays

Back to all Data Science / AI / ML jobs
Barclays logo
Bulge Bracket Investment Banks

Senior Forward Deployed AI engineer

at Barclays

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Join Barclays as a Senior Forward Deployed AI Engineer to design, prototype and iterate agentic AI solutions and Copilot/LLM-enabled workflows that can be scaled into central platforms. The role combines prompt engineering, LLM/ML feature extraction and full-stack cloud engineering to deploy platform-related components and agents. It is a business-facing role requiring MLOps/LLMOps troubleshooting, stakeholder engagement, and commercial acumen, ideally with some financial domain knowledge. The position is based in Barclays' London office and involves design, implementation and operational support of analytics and machine learning models within the bank's control environment.

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.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

  • Design analytics and modelling solutions to complex business problems using domain expertise.
  • Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
  • Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
  • Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
  • Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
  • Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
  • Ensure all development activities are undertaken within the defined control environment.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

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.

Senior Forward Deployed AI engineer

at Barclays

Back to all Data Science / AI / ML jobs
Barclays logo
Bulge Bracket Investment Banks

Senior Forward Deployed AI engineer

at Barclays

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Join Barclays as a Senior Forward Deployed AI Engineer to design, prototype and iterate agentic AI solutions and Copilot/LLM-enabled workflows that can be scaled into central platforms. The role combines prompt engineering, LLM/ML feature extraction and full-stack cloud engineering to deploy platform-related components and agents. It is a business-facing role requiring MLOps/LLMOps troubleshooting, stakeholder engagement, and commercial acumen, ideally with some financial domain knowledge. The position is based in Barclays' London office and involves design, implementation and operational support of analytics and machine learning models within the bank's control environment.

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.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

  • Design analytics and modelling solutions to complex business problems using domain expertise.
  • Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
  • Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
  • Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
  • Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
  • Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
  • Ensure all development activities are undertaken within the defined control environment.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

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.