Software Engineer GEN AI, Assistant Vice President

Posted Yesterday
Be an Early Applicant
Irving, TX, USA
In-Office
107K-161K Annually
Senior level
Fintech • Financial Services
The Role
Build and scale production generative and agentic AI systems supporting the software delivery lifecycle. Develop multi-agent workflows with Google ADK, Gemini, and Claude; integrate enterprise tools such as JIRA and GitHub; create RAG pipelines and evaluation harnesses; and build asynchronous Python and FastAPI services backed by PostgreSQL. Apply testing, observability, CI/CD, containerization, secure coding, and AI guardrails to reliable enterprise deployments.
Summary Generated by Built In

Citi is the world's most global bank, serving clients in more than 160 countries. Citi is investing heavily in scaled, enterprise-grade generative and agentic AI that operates securely and reliably across a highly regulated financial infrastructure. You'll join the USCC Architecture and AI Engineering team, which owns an enterprise multi-agent AI platform that autonomously supports the software delivery lifecycle, from product analysis through to reviewed, deployable code. 

 

As a Generative AI Engineer (AVP), you will build and scale production components of this platform. This is a hands-on individual contributor role for an engineer with a strong foundation in computer science, software engineering, and applied AI, ready to ship real production systems rather than one-off prototypes. 

 

Responsibilities 

  • Build and maintain production AI agents covering product analysis, requirements capture, UI prototyping, backlog generation, and automated code implementation with pull request creation. 

  • Implement multi-agent workflows using the Google Agent Development Kit (ADK), including sub-agent orchestration, human-in-the-loop approval gates, and agent-to-agent (A2A) messaging. 

  • Integrate Gemini and Anthropic Claude into agent pipelines via enterprise gateways, applying advanced prompt engineering and structured tool/function calling. 

  • Connect agents to enterprise systems, including Engineering & AI Product Documentation, JIRA, and GitHub, using MCP-style tool interfaces. 

  • Build RAG pipelines using vector search, embeddings, and clustering to ground agent responses in accurate enterprise context. 

  • Build evaluation harnesses (LLM-as-judge, parallel jury methods) to measure faithfulness, relevancy, hallucination rate, and task completion. 

  • Write advanced, async Python and build well-documented FastAPI services, backed by persistent PostgreSQL session state. 

  • Apply data structures, algorithms, and complexity analysis to keep orchestration and retrieval logic efficient at scale. 

  • Instrument services for observability, maintain CI/CD and containerized deployments, apply secure coding and guardrail practices, and write tests (unit, integration, end-to-end) as part of every change. 

 

Required Qualifications & Skills 

  • 3 to 7 years of hands-on software engineering experience (5+ for PhD holders), with a track record of shipping production software. 

  • Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, and relational database design/optimization. 

  • Advanced Python (async, typing, dependency management) and solid software engineering practices: clean code, automated testing, version control, and CI/CD. 

  • Hands-on experience with LLM application development (prompt engineering, tool/function calling, structured outputs) and multi-agent/agentic frameworks. 

  • Practical RAG pipeline experience using vector databases and embedding-based retrieval, plus familiarity with structured LLM/agent output evaluation methods. 

  • Experience integrating AI systems with external tools/documentation via structured interfaces (e.g., MCP), and working knowledge of Docker and Kubernetes/OpenShift. 

 

Beneficial Skills & Qualifications 

  • Direct experience with Google ADK or comparable orchestration frameworks; observability tooling (Langfuse, Prometheus, distributed tracing). 

  • Exposure to Go, and front-end development with React/TypeScript (including SSE streaming). 

  • Experience with ChromaDB/pgvector, HDBSCAN clustering, HashiCorp Vault, and SSO/JWT authentication patterns. 

  • Experience with GitHub, JIRA, and documentation-search integrations for backlog and pull request workflows. 

Education:

  • Bachelor's degree in Computer Science, or a related field.

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Job Family Group: Technology

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Job Family:Digital Software Engineering

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Time Type:Full time

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Primary Location:Irving Texas United States

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Primary Location Full Time Salary Range:$107,120.00 - $160,680.00


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 Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:Sep 25, 2026

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Automated Processing and AI

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.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Skills Required

  • 3 to 7 years of hands-on software engineering experience; 5+ years for PhD holders
  • Bachelor's degree in Computer Science or a related field
  • Production software engineering experience
  • Strong knowledge of data structures, algorithms, complexity analysis, operating systems, networking, and relational database design and optimization
  • Advanced Python, including asynchronous programming, typing, and dependency management
  • Software engineering practices including clean code, automated testing, version control, and CI/CD
  • Hands-on LLM application development experience, including prompt engineering, tool or function calling, structured outputs, and multi-agent or agentic frameworks
  • Practical RAG pipeline experience using vector databases and embedding-based retrieval
  • Familiarity with structured LLM or agent output evaluation methods
  • Experience integrating AI systems with external tools and documentation through structured interfaces such as MCP
  • Working knowledge of Docker and Kubernetes or OpenShift
  • Experience with Google ADK or comparable orchestration frameworks
  • Observability tooling experience, including Langfuse, Prometheus, or distributed tracing
  • Exposure to Go
  • Front-end development experience with React and TypeScript, including SSE streaming
  • Experience with ChromaDB or pgvector
  • Experience with HDBSCAN clustering
  • Experience with HashiCorp Vault
  • Experience with SSO and JWT authentication patterns
  • Experience integrating GitHub, JIRA, and documentation search systems

Citi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.

  • Healthcare Strength Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
  • Retirement Support Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
  • Wellbeing & Lifestyle Benefits Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.

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The Company
HQ: Kwun Tong, Kowloon
223,850 Employees

What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

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