Senior AI Engineer for Banking Technology Job at Citi (Jersey City)

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

AI Product Engineer for Banking Technology

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

Location

United States , New York; Jersey City

Salary:

176720.00 - 265080.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of 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
While this is a product-heavy role, you should have a strong foundation in software engineering principles and be comfortable discussing architecture and code with your team
Bachelor’s degree/University degree or equivalent experience

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

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

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

Generative AI Software Senior Engineer, Technology Strategy

This is a hands‑on development role, working as part of a global engineering tea...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Deep hands-on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale
Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang
Experience designing control and sandboxing systems for AI research
Pytorch, TensorFlow experience
Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
Understanding of LLMs and transformers
Rich understanding of vector stores and search algorithms
Large-scale ETL development
Direct engineering experience of high performance, large-scale ML systems
Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process

Job Responsibility

Design and build AI agents that enable and streamline Technology Strategy processes
Translate complex LLM and agentic workflows into clear, responsive, and intuitive user experiences
Embed AI capabilities into strategic workflows to drive measurable productivity gains
Enable real-time and streaming AI outputs (chat, reasoning traces, document generation, workflow automation)
Design and build high-quality, highly reliable products with user experience at the centre
Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)
Be responsible for engineering innovative, best in class AI platforms for the bank
Maintain strong engineering discipline (clean architecture, componentisation, performance optimisation, testing, documentation, adherence to PM standards)
Mentor and nurture other engineers to help them grow their skills and expertise

Fulltime

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
Strong communication and stakeholder management skills

Job Responsibility

AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides

Fulltime

Senior AI Software Engineer

DefineX is a next-generation consulting house and venture builder, helping finan...

Location

Turkey , Istanbul

Salary:

Not provided

DefineX

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science/Engineering, Mathematics, or a related field
5+ years of hands-on experience in Java-based software development, ideally within enterprise or banking environments
Solid understanding of machine learning concepts and model lifecycles, with hands-on experience integrating ML models into production systems
Experience bridging Python-based ML workflows and Java services (e.g. consuming serialized models, model-serving APIs, or hybrid architectures)
Practical experience with LLMs, NLP technologies, and predictive modeling techniques
Strong proficiency in Java, with working knowledge of Python for AI/ML integration scenarios
Familiarity with NoSQL databases (HBase, Elasticsearch, Couchbase, etc.)
Experience designing and operating microservices architecture using Kubernetes and/or OpenShift
Strong understanding of software architecture, data structures, data modeling, and RESTful web services
Experience with containerization, CI/CD, and version control (Docker, Kubernetes, Git)

Job Responsibility

Design and develop Java-based AI services that integrate machine learning and deep learning models into enterprise systems, including the consumption of Python-trained models (e.g. serialized models such as pickle) within Java-driven architectures
Build end-to-end ML model lifecycles covering model integration, versioning, deployment, monitoring, and retraining triggers in production environments
Develop prototypes across AI use cases, focusing on production readiness rather than experimentation only
Collaborate with data scientists and ML engineers to operationalize models by exposing them via APIs or embedding them into Java-based microservices
Build scalable systems and pipelines for high-throughput data processing and real-time or near real-time inference
Work closely with business and technical stakeholders to translate business problems into robust AI-enabled software solutions
Contribute to long-term AI platform evolution while delivering incremental, high-impact milestones

What we offer

Growth and Development: Be part of a growing global team of professionals with training and support to help you grow
Every DefineXer has a Growth Coach to accelerate their growth through feedback
Independence and Ownership: Blur in creative and challenging business and technology transformation projects
Time Off: 20 vacation days per annum
We love to Give Back: You will get certain hours a year to volunteer and organize office volunteer programs with local NGOs
Health and Wellness: Competitive private health and life insurance coverage

Fulltime

Senior Data Engineer, Information Technology

CREA, LLC is a full-service low-income housing tax credit (LIHTC) syndicator for...

Location

United States , Indianapolis; Boston

Salary:

97000.00 - 143000.00 USD / Year

CREA (IN)

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering, Computer Science, or related field required
advanced degree preferred
7+ years of experience in data engineering or development with increasing responsibility
Proven experience building and evolving data platforms and supporting business decision-making
Industry experience in Real Estate, Financial Services, Banking, or FinTech preferred
Strong experience designing, integrating, securing, monitoring, and optimizing data platforms
Experience with APIs for system integration and data exchange
Experience leveraging AI-enabled tools for analytics, automation, or solution development
Azure Data Platform: SQL Server Managed Instance, Azure SQL Database, Azure Synapse, Dataverse, Microsoft Fabric (OneLake, Fabric Warehouse, Data Factory)
Data Integration: Azure Data Factory, Microsoft Fabric

Job Responsibility

Lead the design, development, and modernization of enterprise data platforms supporting LIHTC and real estate finance operations
Design, build, test, deploy, and maintain scalable, secure, and reliable data pipelines and integrations
Develop and maintain ETL/ELT processes for structured and semi-structured data, including orchestration and documentation
Ingest, transform, and integrate structured and unstructured data into centralized data platforms (warehouse/lakehouse)
Build reusable code and automation to streamline data processing and management
Lead and support migration of on-prem SQL Server workloads to Azure/Microsoft Fabric
Participate in data architecture decisions, standards, and platform/tool selection
Maintain and optimize performance, reliability, and monitoring across cloud and hybrid environments
Develop and support data solutions that enable analytics, reporting, and business operations
Produce dashboards and reports

Fulltime

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Senior AI Engineer for Banking Technology

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