About the Team
The Enterprise AI Products team is a small, high-impact global team within the Citi COO/CTO organisation, dedicated to building innovative AI solutions for the wider bank.
We are at the forefront of Generative AI, delivering capabilities that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact.
The Role
This is a senior role within a deliberately flat team structure. You will be expected to take ownership, bring fresh thinking, and collaborate closely with colleagues across disciplines to deliver outcomes that genuinely make a difference.
You will write bulletproof, production-grade code — not prototypes — to solve novel problems that sit at the frontier of applied Generative AI. Typical problem spaces you'll work on include intelligent data extraction from unstructured and semi-structured documents, content classification and routing, cross-language translation, fraud and document-tampering detection, and workflow optimisation across business processes. You'll be trusted to turn ambiguous, often first-of-a-kind problems into dependable services that the business can run its operations on. Because these solutions operate in a regulated banking environment, resilience, explainability, and auditability are as important as raw model performance — and you will move fluidly between experimentation, evaluating models, prompts, and architectures, and hardening the winning approach into dependable, scalable production code.
You will gain meaningful exposure to AI development and solutions, alongside a broad range of technical work in a fast-moving, delivery-focused environment.
- Design, build and support high-quality, production-grade AI software and services that scale across the organisation.
- Own technical solutions end-to-end, from problem definition and experimentation through to deployment and ongoing improvement.
- Develop innovative Generative AI solutions for complex business problems, including intelligent document processing, data extraction, classification, translation, fraud detection and workflow optimisation.
- Evaluate and experiment with AI models, prompts and architectures, selecting and productionising the most effective approaches.
- Lead the technical design and architecture of AI products, ensuring solutions are resilient, scalable, explainable and auditable.
- Work closely with Product, Risk, Engineering and other AI platform teams to deliver solutions that meet business and regulatory requirements.
- Partner with senior stakeholders to shape product vision, technical strategy and roadmaps.
- Provide technical leadership, guidance and mentorship to other engineers, helping to raise engineering standards across the team.
- Drive strong engineering practices through technical design reviews, code reviews, automated testing and continuous improvement.
- Troubleshoot complex distributed systems and proactively identify opportunities to improve performance, reliability and scalability.
- Contribute to the evolution of Citi’s AI technology, engineering practices and procedures.
- Proven experience as a Senior Software Engineer, AI Engineer, Technical Lead or similar senior engineering role.
- Strong hands-on software engineering experience, with a track record of building and delivering production systems rather than prototypes.
- Strong Python development skills and experience building robust, maintainable applications and services.
- Practical experience applying Generative AI and Large Language Models to real-world business problems.
- Extensive experience designing and optimising prompts across different Generative AI models, with a rigorous approach to prompt structure, clarity and performance.
- Experience building production solutions in areas such as Intelligent Document Processing, document/data extraction, NLP-based classification, machine translation, fraud/anomaly detection or workflow automation.
- Experience evaluating Generative AI applications, including experiment design, model evaluation and performance measurement; exposure to MLflow is advantageous.
- Strong understanding of software architecture, technical design and functional programming principles.
- Experience working with databases such as PostgreSQL or Oracle, with exposure to Kubernetes/OpenShift advantageous.
- Practical experience with CI/CD and modern software delivery tooling such as Jenkins, uDeploy, Tekton, Harness or equivalent.
- Exposure to Agentic AI and Agent Development Kit (ADK).
- Strong problem-solving and analytical skills, with the ability to troubleshoot complex distributed systems.
- Ability to work effectively in a highly regulated environment where resilience, explainability, security and auditability are critical.
- Excellent communication and collaboration skills, with the confidence to work with technical and non-technical stakeholders at all levels.
- A creative and adaptable mindset, with the ability to turn ambiguous, first-of-a-kind problems into practical and dependable production solutions.
What we’ll provide you
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
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
Visit our Global Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
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Job Family Group: Technology------------------------------------------------------
Job Family:Systems & Engineering------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- Significant experience as a senior developer, technical lead, or similar role
- Experience collaborating across teams and business verticals
- Extensive experience crafting prompts across Generative AI models
- Experience building production systems for document or data extraction, NLP classification, machine translation, fraud or anomaly detection, or workflow automation
- Experience evaluating Generative AI application performance, including MLflow, experiment design, or evaluation methodologies
- Strong background in functional programming, technical design, and architecture
- Hands-on proficiency with Python
- Exposure to PostgreSQL or Oracle
- Exposure to Kubernetes or OpenShift
- Practical experience with CI/CD tooling such as Jenkins, uDeploy, Tekton, Harness, or equivalent
- Exposure to Agentic AI, specifically ADK
- Strong problem-solving, troubleshooting, communication, and collaboration skills
- Bachelor's degree in computer science, science and engineering, or a related field
- Graduate-level or continuing education in a relevant discipline
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
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