Role at a glance
- Job function
-
AI & Data Large Language Model (LLM) Engineering
- Salary
- Not Disclosed
- Location
- Pune Maharashtra India
- Work arrangement
- Hybrid
- Employment
- Full-time
- Education
- Master's
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About the role
Original posting provided by Citi
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:
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Job Family:
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Time Type:
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Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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View Citi’s EEO Policy Statement and the Know Your Rights poster.
About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.