AI Engineer - Enterprise AI Products

Citi; Greater London; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model with up to 2 days at

Private medical care

Life insurance

Pension plan

Annual bonus

Paid parental leave

Employee discounts

Job summary

Citi приглашает старшего разработчика/Technical Lead присоединиться к команде Enterprise AI Products. Вы будете вести технические компоненты, сотрудничать с бизнес- и ИТ-руководством, создавать дорожные карты и архитектуру для масштабируемых решений на базе Generative AI и AI Agents.

Требуется глубокий опыт разработки на Python/Java, знание REST API и CI/CD. Готовность работать с рисками, безопасностью и соответствием обязательна.

Qualifications

• Опыт работы на старших должностях разработки/архитектуры.
• Разработка на Python и/или Java, желательно обеими языками.
• Опыт с Generative AI и агентами AI.
• Разработка REST API, сетей, баз данных и CLI-инструментов.

Responsibilities

• Ведение технических компонентов на протяжении всего цикла: от идей до продакшна.
• Работа со стейкхолдерами для определения проблем и решений.
• Формирование дорожной карты продуктов и технической стратегии.
• Разработка и тестирование масштабируемых AI-решений и агентов.
• Обеспечение качества кода, CI/CD и ревью дизайна.

Skills

Python

Java

Generative AI

AI Agents

REST APIs

CI/CD

DevOps

Leadership

Education

Степень бакалавра в CS/Engineering

Tools

PostgreSQL

Oracle

Jenkins

Kubernetes

Job description

Описание:

Citi’s Enterprise AI Products team builds AI solutions for the wider bank, including capabilities for data sharing across agent ecosystems, new Agentic AI use cases, and purpose-built tooling for modern AI architecture.

Задачи:

Own and lead technical components end-to-end, ensuring alignment with business and product objectives Work with senior business and technology stakeholders to understand problems and translate them into technical solutions Shape product roadmaps, technical strategy, and priorities with the team lead and wider stakeholders Design, develop, and implement scalable, production-quality solutions using sound engineering and architectural principles Build AI solutions, including Generative AI and Agentic AI using Google ADK Design, develop, and test AI Agents; work with Model Context Protocol (MCP) and MCP servers Write high-quality code in Python and/or Java across modern AI and platform technologies Provide technical leadership, mentoring, and guidance to other engineers, and contribute to team development Drive engineering quality through code reviews, technical design reviews, testing, and robust CI/CD practices Ensure solutions meet Citi’s risk, security, and compliance requirements and integrate effectively with wider technology platforms

Требования:

Proven experience as a Senior Developer, Technical Lead, Lead Engineer, or in a similar senior engineering role Strong expertise in object-oriented programming, software architecture, and technical design Hands-on development experience in Python and/or Java; experience with both is highly desirable Experience with Generative AI and AI Agents Strong understanding of REST APIs, networking, databases, and CLI tooling Experience with CI/CD and modern DevOps tooling Ability to shape technical strategy and roadmaps and influence senior stakeholders Interest in understanding business problems and working with non-technical stakeholders Strong problem-solving, communication, and presentation skills; confidence engaging with business and technology leaders Experience providing technical leadership, mentoring, or line management within software engineering teams A Bachelor’s degree in Computer Science, Engineering, or a related discipline is preferred; graduate-level or continuing education is a plus Будет плюсом: Google ADK, Model Context Protocol (MCP), AI/data/service integration, Postgres/Oracle, Jenkins, uDeploy, Tekton, Harness or equivalent, Neo4j or other graph databases, UX/front-end development, broader AI platform technologies

Условия:

Competitive base salary, reviewed annually 27 Days of annual leave plus bank holidays Discretionary annual performance-related bonus Private medical care and life insurance Employee Assistance Program Pension plan Paid parental leave Special discounts for employees, family, and friends Hybrid working model with up to 2 days working at home per week