Senior Java Engineer – Agentic AI Driven Development - Vice President Job at Citi (Mississauga)

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Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

The Applications Development Technology Senior Lead Analyst is a senior-level po...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java - Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks - Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware - Proven experience in designing and developing RESTful APIs and microservices
Relational Databases - Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases - Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps - Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control - Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing - Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Web Technologies (Beneficial) - Familiarity with web services (SOAP/REST), XML, JSON
AI Tools & Methodologies - Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems
Contribute to the strategic planning and technical roadmap for our middleware platforms
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding.

Fulltime

Full Stack Engineer - AI Enabled – Senior Vice President

Citi is looking for a highly skilled and innovative Full Stack Engineer with a s...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
Significant hands-on experience in full-stack software development
Proven experience in designing and building scalable, high-performance microservices
Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ)
Solid experience with modern front-end frameworks, specifically Angular
Experience with AI technologies, including machine learning, natural language processing, or other AI domains
Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications
Expert proficiency in Java and TypeScript/JavaScript
Strong expertise in Java development, including Spring Boot, Spring Cloud
Extensive experience with microservices architecture principles and patterns

Job Responsibility

Design, develop, and maintain high-performance, scalable, and secure full-stack applications using Java, Angular, microservices, and event-based architectures
Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for various business use cases
Collaborate with data scientists, AI researchers, product managers, and other engineering teams to translate business requirements and AI models into production-ready software
Architect and implement microservices and event-driven systems that are resilient, fault-tolerant, and performant
Develop front-end user interfaces using Angular, ensuring an intuitive and responsive user experience
Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support
Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation
Stay abreast of emerging technologies and trends in full-stack development, AI, and agentic systems, recommending and implementing innovative solutions
Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning

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

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

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 Engineering Lead - Credit Risk - Senior Vice President

This is a Senior Lead Principal Engineer position responsible for establishing a...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Full-stack developer with 10+ years of experience in designing and developing robust, scalable, and maintainable applications applying Object Oriented Design principles
Hands-on experience in Web technologies (HTML, CSS, React JS), REST-APIs, and Backend using Java/J2EE technologies
Deep experience with Big Data technologies and data platforms capable of handling vast datasets for training, serving, and managing AI models
Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud) and deployment/packaging solutions such as Dockers/Kubernetes, OpenShift
Experience with Agile software development processes with a strong emphasis on test driven development
Strong knowledge of CI/CD pipelines and experience in tools such as JIRA, BlackDuck, SONAR etc
Deep understanding of JVM internals such as class loading and memory management
Java Core with extensive hands-on experience with concurrent programming
Spring Framework including Core, Integration, Batch, JDBC, Hibernate
Distributed Caching frameworks such as Oracle Coherence, Redis or equivalent

Job Responsibility

Provide technical leadership and development oversight to the wider team of Software Engineers/Analysts
Ensure application design adheres to the appropriate architectural and design patterns for scalable and intelligent systems
Develop key software components personally, and use your code as a teaching tool across the team for patterns and techniques, especially concerning Agentic AI design and implementation
Host sessions for design and code review at multiple levels of the organization
Improve our engineering standards and process to make the team more capable and efficient, embracing AI-assisted development practices, including the use of tools like Git Copilot and Devin AI
Collaborate effectively with a large global team of software engineers, business analysts, dev-ops and support staff to deliver software solutions for the business
Lead the adoption of new technologies where appropriate to solve business problems while adhering to Citi's architectural guidelines, with a strong focus on Agentic AI and Machine Learning frameworks
Serve as advisor or coach to mid-level/junior developers and analysts, helping build the overall engineering capabilities of the team, particularly in AI/ML and intelligent systems development
Appropriately assess risk when 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

New

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

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

What we offer

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

Fulltime

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

Fulltime

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Senior Java Engineer – Agentic AI Driven Development - Vice President

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