- Location
- PLOT NO-1, S.NO. 77, India
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 10+ years
- Closing date
- Today
- Source
- Workday
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------------------------------------------------------
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.------------------------------------------------------
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