CrawlJobs Logo

Ai Product Engineer, Banking Technology - Vice President

United Kingdom, London · Job Posted May 04, 2026
Apply Position
Job Link Share

Job Description

We are seeking a visionary and hands-on AI Product Engineer to join our Banking Technology group. This is a senior-level, strategic role designed for a leader who thrives at the intersection of product management, artificial intelligence, and software engineering. You will be responsible for shaping the future of our financial products by identifying high-impact opportunities for AI and leading the end-to-end lifecycle from concept to scaled production. This is not a traditional development role. We are looking for a product-minded technologist who can bridge the gap between complex business challenges and cutting-edge AI solutions. You will be heavier on the "product" side - defining the vision, strategy, and roadmap while maintaining the deep technical expertise to guide a cross-functional team in building and shipping world-class, AI-powered applications.

Job Responsibility

  • Define the Vision: Own the product strategy for AI initiatives within Banking Technology
  • Drive the Roadmap: Translate the product vision into a clear, actionable roadmap
  • Lead from the Front: Act as the key technical and product leader for a dedicated team of engineers
  • Bridge Business and Tech: Serve as the primary liaison between business stakeholders, end-users, and the development team
  • Hands-On Prototyping and Architecture: Be prepared to get hands-on with building proofs-of-concept and initial prototypes to validate ideas quickly
  • Champion and Influence: Influence and negotiate with senior leadership to secure buy-in and resources for your product vision
  • Manage Risk and Compliance: Uphold the firm's commitment to risk management and compliance

Requirements

  • Significant experience in technology, with a proven track record of shipping products from concept to launch in a product-centric or entrepreneurial role
  • Demonstrated experience in a role that blends product management (defining the "what" and "why") with software engineering (defining the "how")
  • Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems
  • Experience with NLP, predictive modeling, or generative AI is highly desirable
  • A strong understanding of core banking and financial technology domains (e.g., commercial banking, risk, transaction services, capital markets)
  • Proven ability to lead, mentor, and inspire cross-functional teams in a fast-paced, agile environment
  • Experience with project management and influencing without direct authority
  • Exceptional communication and relationship-building skills, with the ability to build consensus and drive decisions among senior leaders and diverse stakeholders
  • Strong foundation in software engineering principles and be comfortable discussing architecture and code with your team

Nice to have

Experience with NLP, predictive modeling, or generative AI is highly desirable

What we offer

  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Ai Product Engineer, Banking Technology - Vice President

8 matching positions

Senior AI Engineer, Banking Technology – Vice President

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI En...
Location
Location
Canada , Mississauga
Salary
Salary:
120800.00 - 170800.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6–10 years of progressive software engineering experience with a strong hands‑on coding background
  • 2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning
  • Demonstrated experience delivering enterprise‑scale AI capabilities into production
  • Strong proficiency in Python and/or Java (Spring Boot)
  • working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus
  • Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems
  • Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK)
  • Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas)
  • Familiarity with AI coding tools such as Devin, GitHub Copilot, and Antigravity
  • Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
  • Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability
  • Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs)
  • Fulltime
Read More
Arrow Right

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...
Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of progressive software engineering experience with sustained hands‑on contributions.
  • 3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
  • Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.
  • Expert‑level proficiency in Python and/or Java (Spring Boot)
  • solid experience with JavaScript/TypeScript (Angular, Node.js).
  • Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).
  • Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
  • Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
  • Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
  • Proven ability to design and expose robust, scalable APIs for AI services.
Job Responsibility
Job Responsibility
  • Lead integration of functions to meet goals, deploy new products, and enhance processes
  • Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
  • Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
  • Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
  • Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
  • Consult with end users to identify system function specifications and incorporate into overall system design
  • Allocate work, and act as an advisor/coach developers, analysts, and new team members
  • Influence and negotiate with senior leaders and communicate with external parties
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.
  • Fulltime
Read More
Arrow Right

Senior Vice President - AI Lead Engineer - Banking Technology

Citi's Banking Technology organization is seeking an exceptional full stack hand...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep hands-on experience in engineering and executing scalable enterprise solutions
  • Expert-level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark)
  • Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
  • Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N)
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
  • Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems
  • Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems
  • Demonstrated experience in designing and implementing robust APIs for AI services
  • Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews
  • Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects
Job Responsibility
Job Responsibility
  • Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security
  • Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
  • Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement and quick 'time to value'
  • Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement
  • Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies
  • Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services
  • Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders
What we offer
What we offer
  • Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance
  • Learn About Global Benefits
  • Fulltime
Read More
Arrow Right

Vice President - Technology (Data & AI Infrastructure Engineer)

Our client's technology team is responsible for creating and continuously improv...
Location
Location
United States , New York
Salary
Salary:
175000.00 - 215000.00 USD / Year
rennerbrown.com Logo
Renner Brown
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Computer Engineering, or related field (Master's degree is a plus)
  • 8+ years in infrastructure engineering, cloud platform engineering, or data engineering
  • Demonstrated experience building shared platforms or developer services in an enterprise environment
  • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID
  • Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting
  • PowerShell for infrastructure tasks
  • Infrastructure-as-Code: Terraform and/or Bicep
  • container orchestration with Docker and Kubernetes
  • Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability
  • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns
Job Responsibility
Job Responsibility
  • Design, build, and operate the firm's AI platform, enabling developers to build and deploy Python-based AI applications
  • Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls
  • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
  • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
  • Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
  • Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications
  • Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB
  • Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep)
  • Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions
  • Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services
  • Fulltime
Read More
Arrow Right

Vice President - Technology (Platform Engineer)

Our client's technology team is responsible for creating and continuously improv...
Location
Location
United States , New York
Salary
Salary:
175000.00 - 215000.00 USD / Year
rennerbrown.com Logo
Renner Brown
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Computer Engineering, or related field
  • 8+ years in infrastructure engineering, cloud platform engineering, or data engineering
  • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID
  • Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting
  • PowerShell for infrastructure tasks
  • Infrastructure-as-Code: Terraform and/or Bicep
  • container orchestration with Docker and Kubernetes
  • Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability
  • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns
  • Familiarity with LLM application frameworks such as LangChain or Semantic Kernel
Job Responsibility
Job Responsibility
  • AI Platform & Developer Infrastructure: Design, build, and operate the firm's AI platform, enabling developers to build and deploy Python-based AI applications
  • Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls
  • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
  • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
  • Data Infrastructure & Pipelines: Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
  • Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications
  • Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB
  • Cloud Infrastructure & DevOps: Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep)
  • Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions
  • Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services
  • Fulltime
Read More
Arrow Right

Advanced Java & AI Engineer-Vice President

The Applications Development Technology Lead Analyst is a senior level position ...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Core Java: You possess advanced proficiency in Java/J2EE (Java 8+ preferred) and a solid understanding of object-oriented design principles.
  • Spring Framework: You are an expert in the Spring Framework, specifically Spring Boot, Spring Cloud, Spring Data, and related Spring components.
  • Microservices: You have extensive experience in designing and developing microservices-based architectures.
  • Containerization & Cloud: You are proficient with Docker for containerizing applications and Kubernetes for orchestration, deployment, and scaling.
  • Messaging Systems: You are proficient in Apache Kafka, with demonstrated experience in designing and implementing Kafka Producer and Consumer applications.
  • Rules Engine: You have experience implementing complex rules using the Drools engine.
  • AI Development Tools: You are proficient in using AI Dev assist tools such as GitHub CoPilot for building Java applications.
  • Testing: You have experience with testing frameworks like JUnit, Mockito, WireMock, and various integration testing methodologies.
  • CI/CD: You are familiar with Git, CI/CD tools, and modern continuous integration and deployment practices.
  • Operating Systems & Servers: You possess knowledge of Linux, Tomcat, and AHS (Apache HTTP Server).
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Fulltime
Read More
Arrow Right

Ai-First Full Stack Engineer - Vice President

We are seeking a highly experienced and technically proficient AI-First Full Sta...
Location
Location
Canada , Mississauga
Salary
Salary:
120800.00 - 170800.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in software engineering, with at least 6 years in a senior or lead role delivering complex, enterprise-grade applications
  • Demonstrated success building and deploying applications in financial services, banking, or capital markets domains
  • Proven experience leading technical implementations and mentoring other engineers in a senior individual contributor capacity
  • Strong communication and stakeholder management skills
  • Advanced degree (or equivalent experience) in Computer Science, Engineering, or a related quantitative field is preferred
  • Deep, practical knowledge of designing for cloud readiness, including microservice architecture, 12-Factor App principles, and modern design patterns
  • Proven experience championing SDD (Spec Driven Development), TDD (Test Driven Development), and DDD (Domain Driven Design) within an agile environment
  • Mastery of modern Java (JDK 17/21) and the core Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Cloud)
  • Hands-on experience with modern UI frameworks like Angular, using TypeScript/JavaScript to build intuitive user interfaces
  • Strong, hands-on experience with both relational (Oracle, SQL) and NoSQL (MongoDB) databases
Job Responsibility
Job Responsibility
  • AI-Augmented Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of complex, full-stack applications. Strategically embed AI-powered tools (e.g., Devin, GitHub Copilot, Codex) to accelerate development, automate complex tasks, and validate architectural patterns
  • Champion Elite Engineering Craftsmanship: Drive a culture of quality through the disciplined application of Spec-Driven Development (SDD) for clear planning, and Test-Driven (TDD) / Behavior-Driven Development (BDD) for flawless execution. Use AI to generate intelligent test cases and automate quality gates
  • Architect for Scale and Resilience: Provide deep expertise in modern application architecture, designing for cloud readiness by applying 12-Factor App principles and microservice patterns to build scalable and resilient systems
  • Technical Leadership & Mentorship: Act as a primary subject matter expert in modern software engineering. Provide technical leadership and guidance to the team, fostering best practices in AI-augmented development and scalable system design through code reviews, technical discussions, and collaborative problem-solving
  • Strategic Vision & Innovation: Embrace an agile, iterative mindset that avoids 'Big Up-Front Design' (BUFD). Contribute to the strategic vision for AI in engineering by researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
  • Full-Stack Problem Solving: Mastermind database interactions across Oracle and MongoDB, employing AI to analyze query performance and recommend optimizations. Work across the entire stack to resolve high-impact problems through in-depth evaluation of business and system processes
  • Fulltime
Read More
Arrow Right

Principal Data Genai Platform Engineer - Senior Vice President

Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
  • 8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
  • Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
  • Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
  • Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
  • Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
  • Strong experience with event-driven architectures and streaming platforms (Kafka)
  • Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
  • Exceptional leadership, communication, stakeholder management, and decision-making capabilities
  • Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems
Job Responsibility
Job Responsibility
  • Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
  • Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
  • Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
  • Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
  • Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
  • Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
  • Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
  • Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
  • Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
  • Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations
  • Fulltime
Read More
Arrow Right