Senior AI Engineer - Vice President
Коротко
Leads greenfield architecture and delivery of an AI-powered adjustment platform, building agentic AI workflows, NLP systems, and conversational interfaces on · Needs: 10+ years leading AI/ML or platform engineering teams; hands-on Python; multi-agent orchestration with LangGraph or LlamaIndex; Kubernetes/OpenShift; CI/CD
Описание от работодателя
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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