Senior AI Engineer, Banking Technology – Vice President Job at Citi (Mississauga)

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 Vice President - AI Lead Engineer - Banking Technology

Citi's Banking Technology organization is seeking an exceptional full stack hand...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance
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Fulltime

Ai Product Engineer, Banking Technology - Vice President

We are seeking a visionary and hands-on AI Product Engineer to join our Banking ...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

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

Fulltime

Application Development Technology Senior Lead- Senior Vice President

As the App Dev Senior Tech Lead Analyst, you will responsible for the technical ...

Location

United States , Tampa

Salary:

141440.00 - 212160.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

12+ years of experience in software engineering, with at least 2+ years in a leadership role, leading high-performing engineering teams
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Proven experience as a 'player-coach' who can lead from the front, contribute to the codebase, and mentor junior and senior engineers
Strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up
Experience in the financial services, especially Financial Analytics is a significant plus
Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals
Java full stack/Spring Boot (enterprise standard) and Python Go (plus)
Microservices, domain-driven design, event-driven systems
REST/gRPC
Apigee, Kong

Job Responsibility

Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production
Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example
Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant and scalable technical solutions
Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery
Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges
Implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring to ensure enterprise-grade reliability
Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth
Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry

What we offer

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Principal Data Genai Platform Engineer - Senior Vice President

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

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

Digital Software Engineer Senior Manager - Vice President

The Digital S/W Engineer Sr Mgr accomplishes results through the management of p...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

11-17 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expertise in one or more areas with at least 3+ years of deep specialization in AI/ML, NLP, or Generative AI development
Proven experience in successfully building, leading, and delivering complex technology projects from conception through to deployment and ongoing support
Proven experience in leading high performance teams spread across multiple locations
Effectively coach and give feedback to direct reports to help develop talent and support career development
2+ years of experience building and operating production-grade AI systems such as digital assistants, recommendation engines, or similar intelligent platforms
2+ years of deep, applied experience with LLM technologies (GPT-4, Claude, Gemini, or equivalent), including prompt engineering, fine-tuning, and cost optimization in production environments
Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases for knowledge-grounded AI applications
Demonstrable experience in designing and deploying agentic AI workflows and multi-agent systems using modern frameworks
Proficiency in NLP model development using industry-standard libraries and ML frameworks
Expert-level Python development skills with strong command of RESTful APIs, microservices architecture, and cloud platforms

Job Responsibility

Accountable for executing and driving enterprise grade application design and development efforts to completion, serving as a development lead
Proficient at operating with considerable autonomy and significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles
Participate in design discussions as a Development Lead and play the part of a key decision maker in driving design decisions
Partner with industry vendors that provide technology or user experience design components that support our Digital architecture and work with vendors on our implementation plans and roadmaps identifying partnership opportunities to increase our development velocity and our learnings
Directly impact the business by influencing strategic functional decisions through advice, counsel or provided services
This will require persuading and influencing others through strong and comprehensive communication and diplomacy skills
Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels
Regularly review metrics and proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives
Share knowledge with the team in various forums (brown bags, engineering forums etc.) and demonstrate a higher level of knowledge through industry certifications
Integrate LLMs for conversational understanding and response generation

Fulltime

Ai-First Full Stack Engineer - Vice President

We are seeking a highly experienced and technically proficient AI-First Full Sta...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

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

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

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Senior AI Engineer, Banking Technology – Vice President

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