Senior AI Engineer - Vice President

Posted Yesterday
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Pune, Mahārāshtra, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Lead the architecture and delivery of an enterprise-scale AI-powered financial adjustment platform. Build production-grade agentic workflows, multi-agent systems, RAG pipelines, conversational interfaces, and cloud-native microservices. Establish governance, security, auditability, human-in-the-loop controls, and DevSecOps practices while guiding engineering teams and driving cross-functional adoption.
Summary Generated by Built In
Role Overview

Join Citi Finance Technology to lead the greenfield architecture and delivery of the Intelligent, AI-Powered Adjustment Platform. You will build production-grade agentic AI workflows, NLP-driven systems, and conversational interfaces that automate complex financial adjustment processes at global enterprise scale across Wholesale and Retail businesses.

Key Responsibilities
  • Greenfield Architecture: Design and build an enterprise-scale, multi-tenant AI platform from ground zero.
  • Agentic Workflows: Architect multi-agent systems, tool-use loops, RAG pipelines, and conversational interfaces for end-to-end adjustment processing.
  • Full-Stack & Microservices: Implement resilient, API-first microservices on cloud-native infrastructure (OpenShift / Kubernetes).
  • Governance & Security: Enforce human-in-the-loop controls, auditability, guardrails, and DevSecOps best practices.
  • Technical Leadership: Guide engineering teams, instill engineering standards, and drive cross-functional adoption.

Qualifications & SkillsMust-Have
  • Leadership: Proven track record leading AI/ML or platform engineering teams in production-driven environments with overall 10+ years experience
  • Core Engineering: Strong hands-on proficiency in Python
  • Agentic AI & LLMs: Hands-on experience with multi-agent orchestration (LangGraph, LlamaIndex, or equivalent), function calling, tool use, RAG, prompt/context engineering, evaluation frameworks, and guardrails.
  • Distributed Architecture: Deep experience in event-driven design, containerized microservices, and Kubernetes/OpenShift.
  • DevSecOps & CI/CD: Solid experience with automated CI/CD pipelines (Harness, GitHub Actions, Tekton, ArgoCD) and strict governance/audit standards.
Nice-to-Have
  • Observability: Distributed tracing, logging, and metrics stacks.
  • Streaming & Messaging: Kafka, Solace, or Tibco EMS/RV.
  • Automation: Familiarity with low-code automation tools.
Education
  • Bachelor’s / Master’s degree in Computer Science, Engineering, or equivalent practical experience.

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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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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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

  • 10+ years of overall professional experience
  • Proven experience leading AI/ML or platform engineering teams in production environments
  • Strong hands-on proficiency in Python
  • Hands-on experience with multi-agent orchestration, such as LangGraph or LlamaIndex
  • Experience with function calling, tool use, RAG, prompt and context engineering, evaluation frameworks, and guardrails
  • Deep experience in event-driven architecture, containerized microservices, and Kubernetes or OpenShift
  • Experience with automated CI/CD pipelines, including Harness, GitHub Actions, Tekton, or ArgoCD
  • Experience with governance and audit standards
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
  • Experience with distributed tracing, logging, and metrics stacks
  • Experience with Kafka, Solace, or Tibco EMS/RV
  • Familiarity with low-code automation tools

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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