Citi Group Senior AI Engineer 

United Kingdom, England, London 

767696427

Are you looking for career move that will allow to take a strategic project zero to one? Become a part of Citi’s greenfield programme and transform the working environment of the 18,000+ software engineers here at Citi.

This dedicated team is focused on driving the everything-as-code agenda and delivering tangible reductions in process friction, errors, and manual effort. In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organisation.

Responsibilities:

• Understand the landscape, tooling and procedures used by developers at Citi and look for opportunities to reduce toil and aid simplification using Gen AI based solutions.
• Apply classic AI and novel Gen AI evaluation methodology to raise the quality and reliability bar for the software that you will deliver, as well to manage and mitigate risks that specific/inherent to this field.
• Advice on Evaluation metrics, devise and implement Quantitative Testing Plans, and help evolve the existing approaches to AI evaluation.
• Work with a wide variety of Citi technology teams and help them drive towards everything-as-code and a codified controls environment.
• Collaborate with product and engineering teams to design, build and maintain scalable and reliable web applications and services.
• Be hands-on with coding and software design to ensure adherence to high quality standards and best practices.
• Mentor and nurture other engineers to help them grow their skills and expertise.
• Support and drive cultural change, including instigating critical thinking about controls and processes and encouraging a culture of continuous improvement.
  

Skills & Qualifications:

• Proven experience as an AI Engineer with a significant delivery history
• Strong expertise in multiple programming languages & frameworks.
• Experience and proven experience in using quantitative testing practice applied to the field of AI/ML for actionable Go/No-Go decisions of delivering software to production.
• Demonstrated expertise of developing on a range of architectures, ideally up to and including container-based micro-services with focus on scalability, reliability, maintainability, and high performance
• Good understanding of SQL and NoSQL databases (we use Couchbase, MongoDB, and PostgreSQL)
• Excellent communication and collaboration skills.
• A growth mindset and willingness to learn and adapt in a fast-paced environment.
• Passion about site reliability engineering and its impact on product development.
• Being connected to latest technologies, like Generative AI, and keen to put them in practice.

What we’ll provide you

This role will be based out of our London campus but will be considered as a hybrid role with up to 2 days a week working from home

• 27 days annual leave (plus bank holidays)

• A discretional annual performance related bonus

• Private Medical Care & Life Insurance

• Employee Assistance Program

• Pension Plan

• Paid Parental Leave

• Special discounts for employees, family, and friends

• Access to an array of learning and development resources

Time Type: