Production ai engineer vice president Work, Jobs in Amersham, Bkm (with Salaries)

Lead AI Engineer, Senior Vice President
Citi —London
- Full-time
- Computer Science
- Java
- Master's degree
23h
Senior AI Engineer, Vice President
Citi —London
- Full-time
- Computer Science
- Java
- Master's degree
1d
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
Data Engineer, Vice President
BlackRock Investments —London
- Hybrid work
- In-person
- Work from home
AI Solutions Engineer - Vice President - London
Goldman Sachs —London
- Full-time
- Computer Science
- Engineering
- Master's degree
- Employee assistance programme
Vice President, Credit Technology Engineering
Ares Management —London
- Full-time
- Computer Science
- Bachelor's degree
- Product management
10h
Senior Forward Deployed AI engineer
Barclays —London
- AWS
- Mentoring
- AI
Full Stack Engineering Lead, Vice President
Citi —London
- Full-time
- Hybrid work
- Leadership
- Communication skills
- Employee assistance programme
- Employee discount
Vice President, Software Engineer (Private Markets Data)
BlackRock Investments —London
- Hybrid work
- Machine learning
- In-person
- AI
- Work from home
2d
AI Data Engineer - KDB
Barclays —London
- Machine learning
- Mentoring
- AI
Global Banking & Markets - Software Engineer - Vice President - London
Goldman Sachs —London
- Full-time
- AI
- Communication skills
- SDLC
- Employee assistance programme
AI Ops Platform Engineer
Barclays —London
- Hybrid work
- Machine learning
- Team management
- Mentoring
Principal Engineer – Risk Decisioning & Agentic AI – BPL
Barclays —London
- Hybrid work
- Machine learning
- Mentoring
- AI
FX Client Platforms - Senior UI Software Engineer (Vice President)
Citi —London
- Full-time
- Hybrid work
- Mentoring
- AI
- Communication skills
- Annual leave
- Employee assistance programme
8d
Engineering - Prime Finance Engineering - Vice President – London
Goldman Sachs —London
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
- Employee assistance programme
SRE Observability Technical Lead - Vice President
Citi —London
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- No degree
- Annual leave
- Employee assistance programme
XVA - Lead Software Engineer
Citi —London
- Full-time
- Hybrid work
- Computer Science
- PMP
- Engineering
- Annual leave
- Employee assistance programme
FX Risk — Lead Java Developer | Vice President
Citi —London
- Full-time
- Hybrid work
- Java
- Bachelor's degree
- No degree
- Annual leave
- Employee assistance programme
Technology Application Strategy - Java Developer - Assistant Vice President
Citi —London
- Full-time
- Hybrid work
- Annual leave
- Employee assistance programme
Full Stack Engineer (Java or Kotlin or Python) – VP
Citi —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
- Annual leave
- Employee assistance programme

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production ai engineer vice president jobs near amersham, bkm

Lead AI Engineer, Senior Vice President

Citi -
London

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Job details

Full-time
23 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

Refine Your Search

production ai engineer vice president jobs in amersham, bkm

Lead AI Engineer, Senior Vice President

Senior AI Engineer, Vice President

Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President - London

Data Engineer, Vice President

AI Solutions Engineer - Vice President - London

Vice President, Credit Technology Engineering

Senior Forward Deployed AI engineer

Full Stack Engineering Lead, Vice President

Vice President, Software Engineer (Private Markets Data)

AI Data Engineer - KDB

Global Banking & Markets - Software Engineer - Vice President - London

AI Ops Platform Engineer

Principal Engineer – Risk Decisioning & Agentic AI – BPL

FX Client Platforms - Senior UI Software Engineer (Vice President)

Engineering - Prime Finance Engineering - Vice President – London

SRE Observability Technical Lead - Vice President

XVA - Lead Software Engineer

FX Risk — Lead Java Developer | Vice President

Technology Application Strategy - Java Developer - Assistant Vice President

Full Stack Engineer (Java or Kotlin or Python) – VP

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