Senior AI Engineer - Vice President
- Company: Citigroup
- Location: Pune Maharashtra India
- Work mode: On-site
- Job type: Full-Time
- Posted: 2026-10-05
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.
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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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