GenAI Solutions Engineer Lead – Research & Development (Codified Controls)

11037 Citibank, N.A. United Kingdom; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading financial institution in London is seeking a GenAI Solutions Engineer Lead. This role requires strong expertise in software engineering and Generative AI. You will lead applied research and architect LLM solutions, focusing on collaboration and innovation. The position offers a hybrid work model and a competitive salary along with several benefits including 27 days annual leave and private medical care.

Benefits

27 days annual leave

Discretionary bonus

Private Medical Care

Employee Assistance Program

Pension Plan

Special discounts

Qualifications

• Experience deploying LLM systems to production.
• Strong expertise in distributed systems and micro-services.
• Experience in product-focused teams is beneficial.

Responsibilities

• Lead applied GenAI research and engineering.
• Architect and deliver LLM solutions from experimentation to production.
• Collaborate across teams to drive modern engineering practices.

Skills

Problem-solving

Excellent communication

Collaboration

Adaptability

Growth mindset

Education

Proven experience as an Engineering Lead or similar role

Tools

Python

Go

TypeScript

Kubernetes

Mongo

Job description

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GenAI Solutions Engineer Lead – Research & Development (Codified Controls), London

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Client:

11037 Citibank, N.A. United Kingdom

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

132ded0ad966

Job Views:

6

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

The Department
Developer Enablement is a function of the CTO organisation. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. The main goals are to improve and upgrade our tools, streamline our processes, automate and strengthen our controls, and help development teams adopt modern working methods.

The Role
We're seeking a technically versatile GenAI Solutions Engineer Lead to join our department. You'll help set the technical direction, lead by example, and embed cutting-edge GenAI practices into our software delivery.This role requires deep expertise in software engineering and the latest in Generative AI, with the ability to embed these practices into teams and promote a collaborative, high-performing culture.

As the GenAI Solutions Engineer, you’ll need to demonstrate a deep understanding of user needs and contributing to the overall product vision, translating cutting-edge GenAI research into scalable, production-grade solutions, bridging the gap between experimentation and enterprise deployment.

Our tech stack is diverse, encompassing (but not limited to) Python, Go, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn.

Responsibilities:

• Lead applied GenAI research, focusing on prompt engineering, RAG, and agentic workflows
• Architect and deliver end-to-end LLM solutions – from experimentation to production
• Design evaluation frameworks to benchmark LLM performance, safety, and behaviour
• Build integration layers connecting LLMs to APIs, middleware, and enterprise systems
• Collaborate across teams to drive adoption of modern engineering practices and GenAI tooling
  

Characteristics:

• Able to identify and solve problems effectively
• Excellent communication and collaboration skills
• A self-starter with the ability to work effectively in teams and remotely
• Pragmatic, and a creative approach to managing risk
• An advocate of inclusion and diversity in every way
• A growth mindset and willingness to learn and adapt in a fast-paced environment
• Shows enthusiasm and develops trust through empathy
  

Experience:

• Proven experience as an Engineering Lead, Software Engineering Manager, or similar role
• Strong expertise in multiple programming languages (preferably Python, Go, and TypeScript), frameworks, and tools
• Have deployed LLM systems to production and understand evaluation, guard-railing, and monitoring
• Proven experience with distributed systems, event-driven architectures, container-based micro-services, distributed logs, SQL and NoSQL databases, and DevSecOps
• Experience working in a product focused team as opposed to a project focused team is beneficial

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
• Special discounts for employees, family, and friends
  

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.

#LI-RH4

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Job Family Group:

Technology

The Department
Developer Enablement is a function of the CTO organisation. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. The main goals are to improve and upgrade our tools, streamline our processes, automate and strengthen our controls, and help development teams adopt modern working methods.

The Role
We're seeking a technically versatile GenAI Solutions Engineer Lead to join our department. You'll help set the technical direction, lead by example, and embed cutting-edge GenAI practices into our software delivery.This role requires deep expertise in software engineering and the latest in Generative AI, with the ability to embed these practices into teams and promote a collaborative, high-performing culture.

As the GenAI Solutions Engineer, you’ll need to demonstrate a deep understanding of user needs and contributing to the overall product vision, translating cutting-edge GenAI research into scalable, production-grade solutions, bridging the gap between experimentation and enterprise deployment.

Our tech stack is diverse, encompassing (but not limited to) Python, Go, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn.

Responsibilities:

Lead applied GenAI research, focusing on prompt engineering, RAG, and agentic workflows

Architect and deliver end-to-end LLM solutions – from experimentation to production

Design evaluation frameworks to benchmark LLM performance, safety, and behaviour

Build integration layers connecting LLMs to APIs, middleware, and enterprise systems

Collaborate across teams to drive adoption of modern engineering practices and GenAI tooling

Characteristics:

Able to identify and solve problems effectively

Excellent communication and collaboration skills

A self-starter with the ability to work effectively in teams and remotely

Pragmatic, and a creative approach to managing risk

An advocate of inclusion and diversity in every way

A growth mindset and willingness to learn and adapt in a fast-paced environment

Shows enthusiasm and develops trust through empathy

Experience:

Proven experience as an Engineering Lead, Software Engineering Manager, or similar role

Strong expertise in multiple programming languages (preferably Python, Go, and TypeScript), frameworks, and tools

Have deployed LLM systems to production and understand evaluation, guard-railing, and monitoring

Proven experience with distributed systems, event-driven architectures, container-based micro-services, distributed logs, SQL and NoSQL databases, and DevSecOps

Experience working in a product focused team as opposed to a project focused team is beneficial

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

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.

#LI-RH4

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Job Family Group:

Technology

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Job Family:

Data Science

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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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