Senior GenAI Software Engineer - Vice President in London

Senior GenAI Software Engineer - Vice President in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Citi

At a Glance

  • Tasks: Join a dynamic team to build innovative AI-powered products in finance.
  • Company: Citi, a leading global bank with a focus on technology and innovation.
  • Benefits: Enjoy competitive salary, 27 days leave, private medical care, and hybrid work options.
  • Other info: Collaborate with a small team where your ideas truly matter.
  • Why this job: Shape the future of Generative AI in a fast-paced, impactful environment.
  • Qualifications: Strong Python skills and experience in building scalable AI systems.

The predicted salary is between 80000 - 100000 £ per year.

Help shape the next generation of AI-powered products in Markets! Join a small, high-impact engineering team in Citi Markets Technology building greenfield Generative AI products that cut across asset classes and push beyond proof-of-concept into real production value. We are looking for AI-first engineers who are excited not just by using the latest LLMs, agents, and emerging design patterns, but by applying them with strong engineering discipline, sound judgement, and a relentless focus on quality.

The Team: We are a fast-moving team specialising in Generative AI within Markets Technology. Our focus is on building greenfield products that span multiple markets asset classes, solving real problems with modern AI engineering approaches. We work at the frontier of what is practical and valuable with LLMs - exploring agentic patterns, orchestration approaches, retrieval techniques, and emerging design ideas — while staying grounded in the fundamentals of robust software engineering.

The Role: As a Vice President in the team, you will be a hands-on engineer building and shaping next-generation AI systems for Markets. You will design and develop production-grade services and applications, primarily in Python, and help turn fast-evolving AI capabilities into scalable, maintainable, well-engineered solutions. You will work on greenfield initiatives from idea through to production, contributing not only code but also architecture, patterns, engineering standards, and product thinking.

What You’ll Do:

  • Design, build, and evolve Generative AI solutions for Markets use cases across asset classes
  • Engineer production-quality applications and services using Python
  • Apply modern AI patterns including LLM orchestration, agentic workflows, retrieval-based approaches, and structured evaluation techniques
  • Contribute to system architecture, engineering standards, and technical direction
  • Write clean, maintainable, well-tested code with a strong focus on quality and long-term ownership
  • Collaborate closely with engineers, product partners, and business stakeholders to shape solutions with real impact
  • Use AI not only in the products we build, but also in the way we engineer
  • Bring initiative, curiosity, and original thinking to complex problems in a fast-moving space

What We’re Looking For:

  • Strong software engineering experience, with deep hands-on expertise in Python
  • Experience building scalable, production-grade systems rather than just prototypes
  • Practical experience with Generative AI, LLM-based applications, or agentic systems
  • A strong grasp of software engineering fundamentals, including design, testing, maintainability, and code quality
  • An appreciation for the craft of code
  • Ability to operate in ambiguity, take ownership, and move ideas forward
  • Strong communication skills and a collaborative mindset

What Makes This Role Different: This is not a role focused on maintaining legacy systems or building isolated demos. This is a chance to help define how Generative AI is applied in Markets at meaningful scale. You will join a team that values engineering excellence, speed, and creativity in equal measure.

Recommended Qualifications:

  • Relevant experience in Apps Development or systems analysis role
  • Extensive experience system analysis and in programming of software applications
  • Experience in managing and implementing successful projects
  • Subject Matter Expert (SME) in at least one area of Applications Development
  • Ability to adjust priorities quickly as circumstances dictate
  • Demonstrated leadership and project management skills
  • Consistently demonstrates clear and concise written and verbal communication

Education: Bachelor’s degree/University degree or equivalent experience. Master’s degree preferred.

What we’ll provide you: By joining Citi, you will not only be part of a business casual workplace with a hybrid working model, but also receive a competitive base salary, 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, and Special discounts for employees, family, and friends.

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.

Senior GenAI Software Engineer - Vice President in London employer: Citi

Citi is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a fast-paced financial services environment. With generous benefits such as 27 days of annual leave, private medical care, and extensive learning resources, employees are empowered to grow both personally and professionally. Located in a vibrant city, Citi provides unique opportunities for collaboration across global teams, making it an ideal place for those seeking meaningful and rewarding careers.

Citi

Contact Details:

Citi Recruitment Team

We think you need these skills to ace Senior GenAI Software Engineer - Vice President in London

Python
Generative AI
LLM-based applications
Agentic systems
Software engineering fundamentals
Design
Testing