Senior AI Engineer - Vice President

Location: Pune Maharashtra India

Remote Type: Hybrid

Time Type: Full time

Job Description

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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