Lead Engineer, Applied AI – Banking Technology

Citi

. Lead the end-to-end design, hands-on implementation, and deployment of scalable agentic AI frameworks and generative AI solutions for critical banking use cases .

Posted 11/9/2026full-timeUnited StatesSenior💰 $176,720 - $265,080 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable AI frameworks and solutions, with a strong focus on full-stack development and integration of machine learning tools. Proven ability to lead technical initiatives, collaborate with cross-functional teams, and deliver enterprise-scale AI projects in the banking sector.

Highest-signal resume keywords

Expert-Level Proficiency In PythonProficiency In UI TechnologiesHands-On Experience With TensorFlowDeep Familiarity With LLMsStrong Hands-On Experience Architecting AI Projects

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaUI TechnologiesDatabase TechnologiesAI ConceptsMCP IntegrationAPI DesignApplication DevelopmentEnterprise SolutionsSoftware Engineering

Soft Skills

Technical LeadershipCollaborationStakeholder Engagement

Tools & Technologies

FastAPIDjangoFlaskTensorFlowPyTorchDockerKubernetesGitCI/CD PipelinesAgile Methodologies

Certifications & Qualifications

Bachelor’s DegreeMaster’s Degree Preferred

Industry Keywords

BankingFinancial ServicesGenerative AIAgentic AIMachine Learning

Tech Stack

Tools & technologies

AngularCloudDjangoDockerFlaskJavaJavaScriptKubernetesMicroservicesMongoDBNext.jsNode.jsNumpyOraclePandasPostgresPySparkPythonPyTorchReactScikit-LearnSpringSpring BootSpringBootTensorflowTypeScript

About the role

Key responsibilities & impact

Lead the end-to-end design, hands-on implementation, and deployment of scalable agentic AI frameworks and generative AI solutions for critical banking use cases
Build full-stack applications integrating ML/LLM tools and services into comprehensive AI solutions
Champion an MVP-first approach using rapid iterations, hypothesis testing, and A/B experiments
Design and implement metrics and evaluation strategies for AI system and agent performance
Explore, prototype, and integrate advancements in agent-based systems, autonomous AI, and generative AI
Provide hands-on technical leadership and guide architectural decisions
Collaborate with AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi’s products and services
Engage effectively with diverse stakeholders

Requirements

What you’ll need

Deep hands-on experience in engineering and executing scalable enterprise solutions
Expert-level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark) or Java (e.g., Spring Boot, Spring Cloud, Spring Security)
Proficiency in UI technologies (e.g., Angular, React, Next.js, Node.js, TypeScript) for full-stack development
Proficiency in database technologies such as Oracle, Postgres, or MongoDB
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Hands-on experience with LanGraph, LangChain, AutoGen, CrewAI, or N8N
Extensive experience with TensorFlow, PyTorch, Scikit-Learn, NumPy, and Pandas
Proven experience creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems
Deep familiarity with LLMs such as ChatGPT, Claude, Gemini, and Llama
Demonstrated experience designing and implementing robust APIs for AI services
Proficiency in Git, CI/CD pipelines, comprehensive testing, code reviews, agile methodologies, application resiliency, and security principles
Proven expertise in system design, application development, and operational stability for AI initiatives
Deep experience with application and data architecture patterns and designs
Experience with managed services, existing platforms, API-First Design, microservices, and event-driven architectures
Hands-on experience with Docker and Kubernetes
Previous banking or financial services experience is a plus
10+ years of progressive software engineering experience with a strong emphasis on hands-on coding
Minimum 3+ years of dedicated professional experience in AI-focused software development, prompt engineering, machine learning, Generative AI, and/or agentic AI systems
Strong hands-on experience architecting and delivering enterprise-scale AI projects
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Benefits

Comp & perks

Discretionary and formulaic incentive and retention awards
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