Senior Engineer/Engineering Lead - Senior Vice President

Posted 3 Days Ago
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London, England, GBR
In-Office
Senior level
Fintech • Financial Services
The Role
Build and lead production-grade Generative AI software for document extraction, classification, translation, fraud detection, and workflow optimization. Own architecture, technical roadmaps, scalable services, model and prompt evaluation, testing, code reviews, and regulatory requirements including resilience, explainability, and auditability. Mentor engineers and collaborate with Risk, AI platform teams, and senior stakeholders in a regulated banking environment.
Summary Generated by Built In

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

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.

Responsibilities

  • Own the design and build of high-quality, reliable software that scales.
  • Own, lead, and manage technical components end-to-end, ensuring alignment with business objectives and the wider product strategy.
  • Work with partners in Risk and other AI platform teams to help evolve Citi technology and procedures.
  • Partner with senior stakeholders to shape a compelling vision and technical roadmap for our products.
  • Provide technical guidance and mentorship to junior team members, elevating the team's overall capability.
  • Ensure software quality through rigorous code reviews, technical design reviews, and a strong testing culture.

What We're Looking For

  • Significant experience as a senior developer, technical lead, or similar role. Working alongside other teams to ensure that solutions work seamlessly across business verticals
  • Extensive experience crafting prompts across a variety of Generative AI models — you have strong, well-formed opinions on prompt structure and clarity, approaching it with the same rigor as The Elements of Style brings to writing.
  • Creative mindset –the problems we’re solving often require novel solutions but are constrained by regulatory and compliance requirements.
  • Experience building production systems for one or more of: document/data extraction, NLP-based classification, machine translation, fraud or anomaly detection, or workflow automation.
  • Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation methodologies.
  • Strong background in functional programming, technical design, and architecture.
  • Proficiency in Python— with hands-on experience. Exposure to Postgres/Oracle and Kubernetes (Openshift) is valuable.
  • Practical experience with CI/CD tooling (e.g. Jenkins, uDeploy, Tekton, Harness, or equivalent).
  • Exposure to Agentic AI, specifically ADK.
  • Strong problem-solving skills, attention to detail, and the ability to troubleshoot distributed problems.
  • Excellent communication and collaboration skills, with the willingness to engage at all levels.
  • Ability to adapt quickly in a dynamic environment where priorities evolve.

Education

  • Bachelor’s degree in computer science, science and engineering, or a related field.
  • Graduate-level or continuing education in a relevant discipline is a plus.

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

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Job Family:Systems & Engineering

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Time Type:Full time

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Kwun Tong, Kowloon
223,850 Employees

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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