Senior Software Engineer - AI Products (SVP)

Citi

New York (NY)

Hybrid

USD 162,000 - 243,000

Full time

14 days+
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Benefits offered by this job

27 days annual leave
Discretional annual bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special employee discounts

Job summary

Citi London is seeking a Senior Software Engineer - AI Products (SVP) to own end-to-end AI software delivery in a regulated banking environment. You will build production-grade systems for intelligent document processing, data extraction, translation and workflow optimization, collaborating with product, risk and engineering teams.

You’ll design scalable architectures, evaluate models and prompts, mentor engineers, and ensure resilience, explainability and auditability while shipping reliable

Qualifications

  • Proven experience as a Senior Software Engineer or similar senior role.
  • Hands-on software engineering with production systems experience.
  • Strong Python development skills and production-grade delivery.
  • Practical Generative AI and LLM experience in real-world problems.
  • Experience with prompts design, data extraction, NLP, translation or workflow automation.
  • Experience with CI/CD and modern delivery tooling.
  • Able to work in a regulated banking environment with resilience and auditability.
  • Excellent communication and collaboration skills.

Responsibilities

  • Design, build and support production-grade AI software and services at scale.
  • Own end-to-end technical solutions from problem definition to deployment.
  • Develop Generative AI solutions for document processing, data extraction, translation and workflow optimization.
  • Evaluate models, prompts and architectures; productionise effective approaches.
  • Lead AI product design and architecture, ensuring resilience and auditability.
  • Collaborate with Product, Risk, Engineering and AI platform teams to meet regulatory needs.
  • Shape product vision and technical strategy with senior stakeholders.
  • Mentor engineers and promote strong engineering practices.
  • Drive continuous improvement in performance, reliability and scalability.

Skills

Python development
AI/Generative AI
Prompt engineering
Distributed systems
Production software
PostgreSQL
Oracle
Kubernetes
CI/CD tooling
MLflow
English communication

Tools

PostgreSQL
Oracle
Kubernetes
OpenShift
Jenkins
uDeploy
Tekton
Harness
MLflow

Job description

Senior Software Engineer - AI Products (SVP)
Job Req Id:

26985895

Location(s):

London, England, United Kingdom

Job Type:

Hybrid

Posted:

Sep. 02, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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.

Key Responsibilities
  • 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.
Key Skills & Experience
  • 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

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.

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.

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