Senior ai engineer, vice president Work, Jobs in London, Eng (with Salaries)

Lead AI Engineer, Senior Vice President
Citi —London
- Full-time
- Computer Science
- Java
- Master's degree
22h
Senior AI Engineer, Vice President
Citi —London
- Full-time
- Computer Science
- Java
- Master's degree
22h
Senior Manager/Vice President, Information System & Technology
Mapletree Investments Pte Ltd —London
- Computer Science
- Master's degree
- Analysis skills
Chief Technology Officer
Artsy and Artnet —London
- £200,000 - £350,000 a year
- Full-time
- Hybrid work
- Mentoring
- Agile
- AI
- Employee assistance programme
Head of AI Engineering at AIOS — Remote, $200-$400k/yr + equity
AIOS (YC W20/S21) —London
- £200,000 - £400,000 a year
- Full-time
- Remote
- Computer Science
- Bachelor's degree
- AI
- Annual leave
6d
Senior AI engineer
Healthtech-1 —London
- £90,000 - £130,000 a year
- Overtime
- AI
- School
- Annual leave
- Work from home
Senior Full Stack/Native Cloud Engineer (Vice President)
Jefferies & Company, Inc. —London
- Full-time
- Analysis skills
- Mentoring
- Agile
Senior Vice President, Product Owner (Global Collateral)
The Bank of New York Mellon Corporation —London
- Full-time
- Master's degree
- Bachelor's degree
- Agile
Senior AI Engineer
Xelix —London
- £80,000 - £90,000 a year
- Full-time
- Hybrid work
- System design
- Master's degree
- Machine learning
- Annual leave
- Employee discount
Quick apply
2h
Senior Vice President, Full-Stack Engineer Opportunities
The Bank of New York Mellon Corporation —London
- Full-time
- DevOps
- Financial services
- AI
Senior AI Engineer
Futurice —London
- £60,000 - £90,000 a year
- Remote
- Mentoring
- AI
Senior Vice President POM Product Manager Middle East
The Bank of New York Mellon Corporation —London
- Full-time
- Product management
Senior AI Engineer
Bluefish AI —London
- Remote
- Master's degree
- Analysis skills
- Team management
Senior Vice President, Regional Operations
CULTURAL EXPERIENCES ABROAD LLC —London
- £145,000 a year
- Full-time
- Management
- English
- Master's degree
Quick apply
Senior AI Engineer
Reward Gateway —London
- £80,000 - £90,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Employee discount
Senior Product Engineer
Foundation Partners —London
- £120,000 - £150,000 a year
- Hybrid work
- AI
Quick apply
Global Markets Data Program Management Senior Lead, Senior Vice President
Citi —London
- Full-time
- Hybrid work
- PMP
- Analysis skills
- Project management
- Employee assistance programme
- Employee discount
Senior AI Engineer
Hadean —London
- Hybrid work
- Research
- Master's degree
- Mentoring
Quick apply
Head of AI Solutions, COO Technology - MD (C16)
Citi —London
- Master's degree
- Bachelor's degree
- Machine learning
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President - London
Goldman Sachs —London
- Full-time
- Master's degree
- Bachelor's degree
- No degree
- Employee assistance programme

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Lead AI Engineer, Senior Vice President

Citi -
London

Apply Now

Job details

Full-time
22 hours ago

Qualifications

Law
Computer Science
MCP
Java
Master's degree
Bachelor's degree
Technology leadership experience
Software development
Technical roadmaps
AI
Software development or architecture experience
Leadership
Software architecture

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

We are building the most consequential AI solutions in Funds Transfer Pricing and Financial Hedging platforms, and we are seeking a Lead AI Engineer to own the technical vision and drive the execution for these domains.

In this position, you will be accountable for the end-to-end technical success of our agentic solutions, from architectural vision and design through implementation and adoption, ensuring they deliver scalable, resilient, and business-impacting capabilities at global scale.

Responsibilities:

Strategy & Technical Ownership

Define and own the end-to-end technical strategy for agentic AI within the Funds Transfer Pricing and Financial Hedging domains, ensuring alignment with both business objectives and the firm's technology standards.
Serve as the ultimate technical authority on agentic systems, providing expert guidance to senior leadership and translating complex business challenges into a clear, actionable technical roadmap.
Lead by example through hands-on coding, personally architecting and contributing to the most critical and complex components of the system, setting the standard for code quality and innovation.
Mentor and cultivate a team of senior AI engineers, fostering a culture of technical excellence, continuous learning, and collaborative problem-solving.

System Architecture & Design

Own the architectural vision for highly scalable, resilient, and performant multi-agent systems, establishing the blueprint and design patterns that will be used across the platform.
Oversee the design of intelligent agentic systems, including reasoning, planning, memory, orchestration, and action execution, ensuring they are scalable, reliable, auditable, and fit for business-critical workflows

Development Guidance & Implementation

Guide the team in implementing robust AI agents while personally driving the development of core components and complex features.
Set the strategy for integrating advanced technologies, including large language models (LLMs), predictive models, and sophisticated reasoning frameworks, to continuously expand agent capabilities.
Establish and enforce best practices for designing and optimizing Retrieval-Augmented Generation (RAG) architectures and vector data strategies.

Quality, Performance & Governance

Own the comprehensive strategy for AI system quality, defining the frameworks and metrics for measuring and optimizing agent performance, reliability, and task success.
Establish and enforce rigorous standards for AI governance, explainability (XAI), and responsible AI, ensuring systems are transparent, auditable, and compliant.

Required Qualifications & Skills

Extensive professional experience in software development and system design, with at least 5 years in a technical leadership capacity, guiding senior engineering teams in delivering large-scale, complex systems.
Architectural Mastery of the AI Ecosystem: A proven track record of architecting solutions with the modern AI ecosystem. This requires deep, hands-on expertise with frameworks for agent development (Google ADK), multi-agent orchestration (LangGraph, AutoGen, CrewAI), and data augmentation (LangChain, LlamaIndex).
Proven Expertise in Agentic Systems: A track record of architecting and delivering complex single- and multi-agent systems, demonstrating expertise in planning/reasoning engines, memory systems, and agentic protocols like MCP.
Deep, Practical Knowledge of LLMs: Demonstrated mastery of LLM fundamentals, Prompt Engineering, and Context Engineering, with a history of applying this knowledge to build sophisticated agentic architectures and design robust APIs for AI services.
Deep expertise in enterprise Retrieval-Augmented Generation (RAG) architectures, including document ingestion, embedding strategies, retrieval optimization, reranking, vector databases, and context management.
Expert-Level Engineering Craftsmanship: Expert-level proficiency in Python and SQL applied to building production-quality, high-performance AI systems.
Proven ability to lead technical strategy, influence senior stakeholders, drive architecture decisions across multiple teams, and mentor senior engineers and technical leads.

Beneficial Qualifications & Skills

Experience working in the financial services industry.
Proficiency in Java as an additional programming language.

Education

Bachelor’s degree/University degree in Computer Science
Master's degree preferred

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

Apply Now

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Lead AI Engineer, Senior Vice President