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Job Description

Join Citi’s Startups & Partnerships team to architect, build, test, and ship production AI applications that address real business needs across the organization.

Responsibilities

  • Architect, develop, and deploy production-grade AI-powered tools, pipelines, and workflows to solve business problems across Citi lines of business
  • Run structured proof-of-concepts and sandbox model “bake-offs” to evaluate emerging technologies for real-world fit, including LLMs, agentic frameworks, and orchestration layers
  • Convert business ideas into working demos in days, then iterate quickly based on stakeholder feedback
  • Connect LLMs and agentic systems to enterprise APIs, data pipelines, and lightweight front-end or internal tooling to deliver end-to-end solutions
  • Partner with governance, risk, and platform teams to move validated prototypes toward scaled deployment
  • Communicate technical progress through clear narratives for senior business and technology stakeholders

Requirements

  • Full-stack engineer with applied AI/LLM experience (explicitly not a data science or ML research role)
  • Proven experience building and shipping AI applications, pipelines, and workflows in live, production environments
  • Hands-on proficiency with Large Language Models, prompt engineering, and agentic frameworks/orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, or similar)
  • Strong software engineering fundamentals across the stack, including backend services and API integrations plus lightweight front-end or internal tooling layers
  • Strong communication and stakeholder management skills, working directly with business leaders and clients
  • Ability to learn and adopt new tools and platforms quickly as the AI landscape evolves
  • Comfort operating within a large, regulated, global institution while maintaining a startup-speed delivery mindset

Technologies

  • Large Language Models (LLMs)
  • Prompt engineering
  • Agentic frameworks and orchestration tools
  • LangChain, LlamaIndex, AutoGen
  • Enterprise APIs
  • Data pipelines

Benefits

  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Planned time off (vacation)
  • Unplanned time off (sick leave)
  • Paid holidays
  • Discretionary and formulaic incentive and retention awards (for eligible employees)

Nice-to-Have Skills

  • Experience working directly with startups, venture teams, or technology scouting functions
  • Familiarity with vector databases, retrieval-augmented generation (RAG), or knowledge graph-based retrieval
  • Experience with containerization and cloud-native deployment (Docker, Kubernetes) for AI services
  • Prior exposure to financial services, banking, or other highly regulated industries
  • Experience presenting technical concepts to non-technical, senior business audiences

Education

  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

Location: Jersey City, NJ (onsite)

Salary: USD 142,320 - 213,480 per year

Job Family: Technology

Job Family Group: Technology

Job Family: Infrastructure

Time Type: Full time

Anticipated Posting Close Date: Oct 20, 2026

Primary Location Full Time Salary Range: $142,320.00 - $213,480.00

Primary Location: Jersey City New Jersey United States

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