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About This Role
Discover your future at Citi
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Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
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Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations \& Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first\-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well\-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
Responsibilities:
- Accountable for executing and driving results on large\-scale efforts or multiple smaller efforts and serving as a development lead for most medium and large projects. This includesexpertisewith application development methodologies and standards for program analysis, design, coding, testing,debuggingand implementation.
- Accountable forexhibitinga strong understanding of client core business functions.
- Required to support situations in which end user consultation isrequiredtoidentifysystem function specifications and incorporate them into overall system design and delivery. Additionally,utilizecomprehensive knowledge of multiple areas within technology to achieve technologicalobjectives.
- Independent work style, requiring little or no guidancebymore senior developers. Decisions will make a significant, measurable impact on the business goals for the client organization. During team discussions you will play a significant role with TPMs and engineering managers todeterminepotential risks to a schedule.
- Assistin the planning and managing of application development assignmentsgenerally involvinglarge budgets, cross functionalprojectsor multiple projects. This includes effectively understanding and analyzing both technical and business risks and impact.
- Expected to effectively communicate those risks to the business owners, so that they can make informed decisions.
- Accountable for providing guidance on architecturally significant efforts during the preplanningphase, andensuring principles and best practices are followed prior to initiation of work. In doing so, closely watch and evaluate Digital roadmaps, including impacts to support upcoming journeys.
- Publish design review extensions, andprovidedocumented guidance aligned to sprint plans and timelines.
- Be part of the design review board that will focus on the design process, search for generic patterns, and, at the same time, share best practices across the organization.
- Publish design patterns across lines of business and domain commonalities. Drive design reviews for Next Gen Architecture (NGA) and Plan of Record (POR) projects, supporting design principles and best practices.
- Participate in micro services and NGA code reviews.
- Empower SDEs and their teams by mentoring and coaching.
- Have a comprehensive understanding of the business domain, the systems, and the products in your space. Understand their accountabilities, boundaries, limitations, scalefactorsand the reasons behind architectural decisions.
- Provide a long\-term perspective for business and technologychoices;using technical judgment to vet architecture asrequired.
- Able to direct teams on how to develop and deliver systems that are efficient with resource usage such as hardware, runtime, performance, load, and memory requirements.
- Responsible for broader design decisions and development of long\-term strategies that significantly influence the development process and standards.
- Accountable for Design Reviews of Agile and Plan of Record (POR) projects as well as accountable for Code Reviews of Next Gen Architecture (NGA) projects and are expected to elaborate,promoteand communicate Design Patterns applicable to NGA architectures and solutions.
- Accountable forprovidingarchitectural guidance to the SDE’s based on best practices and in alignment with CTO guidelines and platform.
- Drive clarity and work with complete independence as business and or technical strategy is not defined.
- Providethe corresponding architectural guidance, and conduct design reviews and code reviews based on the projects assigned to your LOB. The product definition and technical planningisout of scope.
- Accountable for the overall strategy and for driving the teams inside and outside of your organization to deliver expected results. Drive mindful discussion with business and technical stakeholders that lead totimelydecisions. Participate in discussions to drive smart trade\-off decisions that balance efforts, delivery timelines, features, and technical constraints.Identifyand remove blockers and always find the path forward in challenging situations.
- Create plans that have a clear path to delivery.Solve fordependencies between agile and waterfall delivery efforts. Help your teams organize for delivery while maximizing resources for the greater good of the Digital organization. Understand engineering best practices and apply best practices to the software development lifecycle (SDLC)
- Accountable for Design Reviews for Citi Agile and POR projects as well as Code Reviews for the NGA projects. Accountable forprovidingarchitectural guidance to the SDE’s based on best practices and in alignment with CTO guidelines and platform. Elaborate,promoteand communicate Design Patterns applicable to NGA architectures and solutions.
- Elaborate,bringand communicate clear metrics on Design Reviews, Code Reviews, CI/CD and Design Patterns adoption.
- Communicate progress,anticipatebottlenecks, provide escalation management,identify, assess,trackand mitigate issues/risks at multiple levels. Recognize discordant views and take part in constructive dialog to resolve them.
- Demonstrate the ability to implement continuous improvement and the induction ofnew technology. Demonstrate examples of influence in scrum teams beyond your own area of focus.
- 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.
Qualifications:
- 6\-10 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expert in one or more areas.
- 2\-3 years of Gen AI experience
- Experience with Python, Java and AI strategy,governanceand Devin AI.
- Exhibitexpertisein all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, Akamai, Lightspeed)
- Lead resources and serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward.
- Acquirerelevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities.
- Demonstrate knowledge on automating code quality, code performance, unit testing, and build processing in the CI/CD.
Education:
- Bachelor’s/University degree,Master’sdegree preferred
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Job Family Group:
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Technology
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Job Family:
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Digital Software Engineering
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Time Type:
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Full time
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Primary Location:
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Jacksonville Florida United States
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Primary Location Full Time Salary Range:
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$125,600\.00 \- $188,400\.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental \& vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Most Relevant Skills
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Please see the requirements listed above.
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Other Relevant Skills
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For complementary skills, please see above and/or contact the recruiter.
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Anticipated Posting Close Date:
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Aug 14, 2026
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Automated Processing and AI
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We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision\-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right
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*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.*
Salary Context
This $125K-$188K range is below the median for AI Software Engineer roles in our dataset (median: $185K across 231 roles with salary data).
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 4,317 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Citi, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $218,500 based on 729 positions with disclosed compensation. This role's midpoint ($157K) sits 28% below the category median. Disclosed range: $125K to $188K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Citi AI Hiring
Citi has 32 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer, AI Agent Developer, AI Software Engineer. Positions span New York, NY, US, Tampa, FL, US, Jacksonville, FL, US. Compensation range: $170K - $300K.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 median).
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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