Ai Product Engineer, Banking Technology - Vice President Job at Citi (London)

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

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

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

Senior AI Engineer, Banking Technology – Vice President

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI En...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

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

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

Artificial Intelligence Security Specialist EMEA

Citi, the leading global bank, has approximately 200 million customer accounts a...

Location

United Kingdom , London; Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-7+ years for Assistant Vice President (C12 Mid - Senior Level)
8-10+ years for Vice President (C13 Senior - Lead/Staff Level)
10+ years for Senior Vice President (C14 Lead/Staff - Principal Level)
Depth in at least one of AI/ML engineering, offensive security, detection engineering, software engineering, or security research
Hands-on LLM API experience (context management, tool use, evaluation, failure modes) for AI/ML Engineering
Agentic systems design
AI safety at the infrastructure level
Vulnerability research, exploit development, or pen testing with real depth for Cyber Security
Detection engineering for novel attack patterns
Threat modelling (STRIDE, ATT&CK)

Job Responsibility

Depends on team: Offensive Security & Vulnerability Management — AI-assisted pen testing at a scale previously impossible
Automated exploit validation
Bridge the gap from 'AI found a vulnerability' to 'the application team has a PR to fix it'
AI & Emerging Technology Security — Define how the bank deploys AI safely
Security architecture and assurance for new implementations
Building the next generation of AI-powered tools for CISO colleagues
Test new models at the cutting edge of creation and influence
Cyber Security AI Services — Own the AI products CISO depends on in production — security assurance, cyber security operations, governance and controls, vulnerability assessment
Keep them reliable, evolve them fast
Cyber Security Operations — Detection, triage, and response for a world where adversaries use AI to find and exploit vulnerabilities faster than traditional detection can keep up

What we offer

Business casual workplace
Hybrid working model (up to 2 days working at home per week)
Competitive base salary (annually reviewed)
27 days annual leave (plus bank holidays)
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

Fulltime

Java Engineering Manager, Cloud Native & AI Development - Senior Vice President

Own and drive end-to-end migration of legacy Mainframe workloads (COBOL, JCL, CI...

Location

India , Pune, Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
13–18+ years of progressive software engineering experience, with at least 5-8 years in a senior technical leadership role (Tech Lead, Staff Engineer, principle)
Demonstrated experience leading or significantly contributing to at least one large-scale Mainframe modernization or legacy platform migration programme
Prior experience in financial services, banking, or a similarly regulated industry strongly preferred
Java 17/21 (Expert), Python, COBOL / JCL (reading & assessment level)
Spring Boot, Spring Cloud, Spring Security, Spring Data JPA, Project Reactor / WebFlux
OpenShift, Kubernetes, Docker, Helm
Tekton, Harness, Jenkins, Git (Bitbucket / GitHub), Artifactory, SonarQube
Oracle, MongoDB, PostgreSQL, MS SQL Server, Redis, DB2/z
Apache Kafka, IBM MQ

Job Responsibility

Mainframe Modernisation & Platform Transformation
Technology Operating Cost Reduction
Hands-On Engineering & Technical Leadership
Generative AI & Agentic Development
People Leadership & Stakeholder Management

Fulltime

Vice President - Technology (Data & AI Infrastructure Engineer)

Our client's technology team is responsible for creating and continuously improv...

Location

United States , New York

Salary:

175000.00 - 215000.00 USD / Year

Renner Brown

Expiration Date

Until further notice

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

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

New

Vice President - Technology (Platform Engineer)

Our client's technology team is responsible for creating and continuously improv...

Location

United States , New York

Salary:

175000.00 - 215000.00 USD / Year

Renner Brown

Expiration Date

Until further notice

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

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

Advanced Java & AI Engineer-Vice President

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

Director, Strategy

We are seeking an experienced Strategy Professional to join Microsoft’s Experien...

Location

United States , Redmond

Salary:

130900.00 - 251900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 6+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
OR Master's Degree in Business Administration or related field AND 4+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
4+ years experience in Strategy, Management Consulting, and/or Finance
A solid track record of driving strategic insight, considering product, technology, marketing, business model, and third-party/partner perspectives
Instincts for portfolio management, sound business judgment, and proven framing skills to support key trade-offs and decisions
Demonstrated hypothesis-driven, problem-solving orientation with the ability to leverage both quantitative and qualitative analyses for decision-making
Proven ability to engage, influence, and manage positive relationships with key stakeholders, including SLT/Corporate Vice President communities across engineering, marketing, finance, corporate strategy, business development, and external commercial partners

Job Responsibility

Product Strategy: Develop and frame product strategies and investment-ready plans in collaboration with product teams, business planning, marketing, and other disciplines
Resource Alignment: Inform allocation of resources to align with organizational goals, competitive pressures, and engineering execution across the Experiences + Devices organization
Market & Competitive Analysis: Identify opportunities, threats, and potential investments based on market trends, technology shifts, and competitor activities
Idea Factory: Identify transformative market shifts, forecast future trends, and develop actionable plans to capitalize on emerging opportunities
Cross-Functional Project Leadership: Lead key strategy projects, orchestrate workstreams across E+D and partners, and drive alignment between leaders and product organizations
Partnerships: Identify and develop opportunities for commercial partnerships
Strategy in the Era of AI: Help define the operational model for a high-impact strategy team, leveraging AI for maximum efficiency and impact
Scale the team’s impact by coaching and developing talent on the team to create an inclusive high-performing organization
Support a One Microsoft culture and influence horizontally across the company by partnering with teams from E+D, marketing, finance, corporate strategy, business development, and other central Microsoft teams

Fulltime

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Ai Product Engineer, Banking Technology - Vice President

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