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Senior AI Engineer - Vice President

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Machine Learning EngineerData
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Quick Summary

Key Responsibilities

Design and build an enterprise-scale, multi-tenant AI platform from ground zero. * Agentic Workflows: Architect multi-agent systems, tool-use loops, RAG pipelines,

Technical Tools
Machine Learning EngineerData
## 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 & Skills ## Must-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. \------------------------------------------------------ ## Job Family Group: Technology \------------------------------------------------------ ## Job Family: Applications Development \------------------------------------------------------ ## Time Type: Full time \------------------------------------------------------ ## Most Relevant Skills Please see the requirements listed above. \------------------------------------------------------ ## Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. \------------------------------------------------------ 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.

Location & Eligibility

Where is the job
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Location terms not specified

Listing Details

Posted
October 5, 2026
First seen
October 5, 2026
Last seen
October 5, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
56%
Scored at
October 5, 2026

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Senior AI Engineer - Vice President