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Citigroup

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SVP - GenAI Full-Stack Engineer Lead

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Summary

Hands-on engineering lead (SVP) at Citigroup in London building enterprise-scale, GenAI-powered products — setting technical direction across frontend, backend, APIs and cloud, championing DevSecOps and platform engineering, and mentoring engineers. Core stack includes Python, Go, TypeScript, Kubernetes and microservices.

Overview

You lead hands-on engineering efforts to build AI-powered products at scale, shaping engineering culture and strategy. You’ll partner across the organisation to deliver enterprise-scale platforms and drive Generative AI adoption. The role blends technical leadership with close code involvement, mentoring engineers and aligning initiatives with Citi’s goals. This is a chance to influence outcomes in global finance with modern practices and mentorship support.

Pay / Benefits
  • 27 days annual leave (plus bank holidays)
  • Discretional annual bonus
  • Private medical care & life insurance
  • Employee assistance program
  • Pension plan
  • Paid parental leave
Responsibilities
  • Design and deliver enterprise-scale applications for critical business functions
  • Maintain hands-on focus on architecture, code reviews, and engineering decisions
  • Set technical direction across frontend, backend, APIs, cloud services and platform components
  • Partner with senior stakeholders to align platform strategy with priorities
  • Deliver high-visibility, business-critical programs
  • Champion engineering excellence, DevSecOps, and platform engineering
  • Mentor engineering managers and senior engineers to foster technical excellence
  • Drive adoption of developer platforms, automation, and enterprise standards across teams
Key requirements
  • Proven experience leading software engineering organizations in a hands-on role
  • Strong software engineering expertise with Python, Go, TypeScript, JavaScript or React
  • Experience delivering AI-enabled or Generative AI solutions in enterprise environments
  • Experience building cloud-native apps using Kubernetes, containers, microservices and event-driven architectures
  • Strong understanding of distributed systems, resiliency, scalability and performance engineering
  • Strong knowledge of SQL and NoSQL, API design and integration patterns
  • Excellent communication and stakeholder management to influence technology decisions
  • Growth mindset with mentoring and developing technical talent
  • Mentoring
  • Stakeholder management
  • Communication
  • Python
  • Go
  • TypeScript

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