Director, Applied AI & Agentic Platform Engineering

Citigroup; Greater London; Hybrid; GBP 62,000 - 102,000; Full time

Benefits offered by this job

Hybrid work model up to 2 days at home

Private medical care

Life insurance

Pension plan

Learning & development resources

Parental leave

Employee discounts

Job summary

Citigroup in London seeks a senior software engineer and technical lead to architect and build a scalable, secure agentic AI platform for banking workflows. You will write code, set standards, and mentor a high-performing team.

The role blends hands-on engineering with strategic leadership, requires cloud-native expertise (GCP, AWS, Kubernetes), and experience delivering enterprise-grade systems. Hybrid work up to two days from home; competitive base salary and comprehensive benefits.

Qualifications

• We require a bachelors or masters degree in Computer Science, Engineering, or a related technical field.
• We require significant experience in software engineering, with proven years in a leadership role leading high-performing engineering teams.
• We require proven experience as a player-coach who can lead from the front, contribute to the codebase, and mentor junior and senior engineers.
• We require a strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.
• Experience in financial services, including Corporate Banking, Investment Banking, or FinTech, is a significant plus.
• An understanding of banking workflows and data is highly desirable.
• We require exceptional ability to communicate complex technical concepts to non-technical stakeholders and articulate a clear technical vision aligned with business goals.
• We require deep expertise in building production-grade agentic systems using GCP as primary, including ADK and Vertex AI.
• We require hands-on experience designing and implementing multi-agent architectures, including task decomposition, coordination, orchestration, and agent-to-agent interaction patterns.
• We require experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patterns.
• We require experience building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation.
• We require end-to-end RAG pipelines using enterprise search and vector stores such as Elastic or Pinecone, with grounding, evaluation, and optimization.
• We require experience with model evaluation, monitoring, prompt and version control, and Responsible AI / MRM compliance.
• We require experience integrating AI into enterprise workflows through API- and event-driven approaches.
• We require experience with data platforms such as Databricks, Spark, and Snowflake, and streaming via Kafka.
• We require expert-level Python skills, plus enterprise Java/Spring Boot experience, with Go as a plus.
• We require experience with microservices, domain-driven design, and event-driven systems.
• We require experience with REST/gRPC APIs and integration tools such as Apigee or Kong.
• We require experience with PostgreSQL, Oracle, MongoDB, Cassandra, and Kafka.
• We require strong experience with GCP, with working knowledge of AWS and optional Azure exposure.
• We require experience with Docker and Kubernetes, including GKE or EKS.
• We require experience with Terraform, GitHub Actions, Jenkins, Splunk, ELK, Prometheus, and Grafana.
• We require knowledge of secure coding, API security, Zero Trust, data privacy, encryption, access control, regulatory compliance, and AI governance.
• We require the ability to recruit, hire, and mentor a high-performing agile team of software and machine learning engineers.
• We require the ability to partner with product management, senior business leaders, enterprise architecture, and external vendor partners.

Responsibilities

• We will lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.
• We will serve as the lead engineer and technical authority, guiding decisions on frameworks, technologies, and infrastructure.
• We will write code, build prototypes, and lead by example.
• We will recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers.
• We will foster a culture of innovation, excellence, and accountability.
• We will partner with product management and senior business leaders to define the product strategy and technical roadmap.
• We will translate complex business needs into elegant technical solutions.
• We will collaborate with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery.
• We will drive the strategy for integrating and operationalizing Large Language Models, agentic frameworks, and other AI/ML technologies to solve real-world banking challenges.
• We will implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring.
• We will define, measure, and report on key performance indicators related to platform adoption, user productivity, and business outcomes such as wallet share growth.
• We will ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry.

Skills

leadership

mentoring

communication

architecting

Python

Go

Java

Spring Boot

REST/gRPC

CI/CD

system design

Education

Bachelor's or Master's in CS/Engineering

Tools

GCP

AWS

Azure

Kubernetes

Docker

Databricks

Spark

Snowflake

PostgreSQL

Oracle

MongoDB

Cassandra

Kafka

REST

gRPC

Apigee

Kong

Terraform

GitHub Actions

Jenkins

Splunk

ELK

Prometheus

Grafana

Job description

Salary: £62,000 - 102,000 per year

Requirements

• We require a bachelors or masters degree in Computer Science, Engineering, or a related technical field.
• We require significant experience in software engineering, with proven years in a leadership role leading high-performing engineering teams.
• We require proven experience as a player-coach who can lead from the front, contribute to the codebase, and mentor junior and senior engineers.
• We require a strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.
• Experience in financial services, including Corporate Banking, Investment Banking, or FinTech, is a significant plus.
• An understanding of banking workflows and data is highly desirable.
• We require exceptional ability to communicate complex technical concepts to non-technical stakeholders and articulate a clear technical vision aligned with business goals.
• We require deep expertise in building production-grade agentic systems using GCP as primary, including ADK and Vertex AI.
• We require hands-on experience designing and implementing multi-agent architectures, including task decomposition, coordination, orchestration, and agent-to-agent interaction patterns.
• We require experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patterns.
• We require experience building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation.
• We require end-to-end RAG pipelines using enterprise search and vector stores such as Elastic or Pinecone, with grounding, evaluation, and optimization.
• We require experience with model evaluation, monitoring, prompt and version control, and Responsible AI / MRM compliance.
• We require experience integrating AI into enterprise workflows through API- and event-driven approaches.
• We require experience with data platforms such as Databricks, Spark, and Snowflake, and streaming via Kafka.
• We require expert-level Python skills, plus enterprise Java/Spring Boot experience, with Go as a plus.
• We require experience with microservices, domain-driven design, and event-driven systems.
• We require experience with REST/gRPC APIs and integration tools such as Apigee or Kong.
• We require experience with PostgreSQL, Oracle, MongoDB, Cassandra, and Kafka.
• We require strong experience with GCP, with working knowledge of AWS and optional Azure exposure.
• We require experience with Docker and Kubernetes, including GKE or EKS.
• We require experience with Terraform, GitHub Actions, Jenkins, Splunk, ELK, Prometheus, and Grafana.
• We require knowledge of secure coding, API security, Zero Trust, data privacy, encryption, access control, regulatory compliance, and AI governance.
• We require the ability to recruit, hire, and mentor a high-performing agile team of software and machine learning engineers.
• We require the ability to partner with product management, senior business leaders, enterprise architecture, and external vendor partners.

Responsibilities

• We will lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.
• We will serve as the lead engineer and technical authority, guiding decisions on frameworks, technologies, and infrastructure.
• We will write code, build prototypes, and lead by example.
• We will recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers.
• We will foster a culture of innovation, excellence, and accountability.
• We will partner with product management and senior business leaders to define the product strategy and technical roadmap.
• We will translate complex business needs into elegant technical solutions.
• We will collaborate with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery.
• We will drive the strategy for integrating and operationalizing Large Language Models, agentic frameworks, and other AI/ML technologies to solve real-world banking challenges.
• We will implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring.
• We will define, measure, and report on key performance indicators related to platform adoption, user productivity, and business outcomes such as wallet share growth.
• We will ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry.

Technologies

• Agentic AI
• AI
• API
• Apigee
• AWS
• Azure
• CI/CD
• Cloud
• Cassandra
• Databricks
• Docker
• ELK
• GCP
• GitHub
• Grafana
• Java
• Jenkins
• Kafka
• Kubernetes
• Machine Learning
• MCP
• MongoDB
• Oracle
• PostgreSQL
• Prometheus
• Python
• RAG
• REST
• Security
• Snowflake
• Spark
• Splunk
• Spring
• Spring Boot
• Terraform
• gRPC
• microservices

More

We are Citi, building a next-generation Agentic AI Platform to reimagine banking workflows for our Corporate, Commercial, and Investment Bankers. This is a greenfield, high-priority initiative with executive visibility, offering the opportunity to build a cutting-edge platform from scratch and make a direct impact on productivity and business outcomes. The role is based in London and sits within a collaborative, innovative engineering environment that values technical excellence and business impact. We offer a business casual workplace with a hybrid working model of up to 2 days working at home per week, a competitive base salary reviewed annually, a discretional annual performance-related bonus, private medical care and life insurance, employee assistance program, pension plan, paid parental leave, special discounts, and access to learning and development resources. We are committed to an inclusive workplace where everyone feels comfortable coming to work as their whole self.

last updated 36 week of 2026