Applied AI engineer in financial services

EY; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

EY предлагает позицию инженера Applied AI в Лондоне, работающего над производственными AI-системами для банковского сектора, госсоектора и частного сектора. Ваша задача — формировать инженерные подходы, взаимодействовать с стейкхолдерами и обеспечивать качество кода в нескольких командах.

Роль предусматривает архитектуру AI-сервисов, менторство инженеров и участие в технических обзорах, а также гибридный формат работы с частыми командировками по Великобритании и за её пределами.

Qualifications

• Глубокая инженерия ПО/систем (Python/TypeScript, распределённые системы, CI/CD).
• Applied-AI: LLM/RAG инженерия и оценка.
• Облачная архитектура (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM и сетевой безопасность.
• Data engineering (Spark/Databricks; ETL/ELT); cloud-native data + AI архитектуры.
• Enterprise integration and SRE: SLIs/SLOs, runbooks, rollback.
• Консалтинговое лидерство: управление стейкхолдерами, бюджетом и рисками.
• Опыт руководства командами инженеров и проведение технических обзоров.

Responsibilities

• Формирование инженерных подходов.
• Взаимодействие с высшим руководством и обоснование trade-offs.
• Обеспечение качества инженерии across squads и client environments.
• Архитектура enterprise-grade AI-сервисов (агенты, RAG-пайплайны, оркестрация).
• Обеспечение операционной готовности.
• Ведение Responsible AI и лучших практик.
• Менторинг инженеров и проведение ревью.

Skills

Python/TypeScript

Distributed systems

CI/CD

LLM/RAG engineering

Telemetry monitoring

Cloud architecture

Kubernetes/Docker

Data engineering

SRE principles

Consulting leadership

Education

PhD in CS/Applied Math/CS Engineering (desirable)

Tools

Spark/Databricks

Azure/AWS/GCP

Job description

Описание:

You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross-sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries.

Задачи:

• Shape engineering approaches
• engage senior stakeholders
• articulate trade-offs
• ensure engineering quality across squads and complex client environments. Architect enterprise-grade AI services (agents, RAG pipelines, orchestration layers, platform components)
• ensure operational readiness
• drive Responsible AI, evaluation and best practices
• Mentor engineers
• lead technical reviews
• establish reference architectures and reusable accelerators
• contribute to internal knowledge sharing and external thought leadership

Требования:

• Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD).
• Applied-AI expertise: LLM/RAG engineering
• evaluation
• telemetry/drift monitoring
• versioning and release management.
• Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
• Data engineering depth (Spark/Databricks; ETL/ELT); cloud-native data + AI architectures.
• Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
• Consulting leadership: stakeholder, budget and risk management
• team leadership.

Будет плюсом:

• Graph/big-data stacks
• streaming
• cloud architect certifications and Responsible AI governance credentials
• A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential

Условия:

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Hybrid with periodic client travel across the UK (and occasional international travel).