The **FinOps Analytics** is a under technical leader responsible for driving cloud cost optimization, building cost-observability platforms, and enabling proactive cloud financial governance. In addition to core FinOps responsibilities, this role now incorporates **Agentic AI architecture, governance, and cost-control capabilities** as organizations shift from traditional dashboards to autonomous optimization systems. Agentic AI introduces autonomous AI agents capable of analyzing data, making decisions, and executing actions at scale-requiring new guardrails, real-time cost management, and AI-centric FinOps frameworks. **Key Responsibilities** **1. Cloud Architecture Optimization & Technical Advisory** + Conduct reviews of high-spend cloud services to identify inefficiencies. + Recommend code-level and infrastructure changes-including serverless patterns, right-sizing, and storage tiering-to reduce spend. + Ensure engineering teams adopt cost-productive design standards to prevent cloud and on-prem "tech debt." **2. FinOps Data, Analytics & Cost Transparency** + Build cloud cost observability and on-prem analytics frameworks that provide real-time usage and spend insights. + Develop forecasting models, dashboards, anomaly-detection systems, and financial models to support cloud budgeting. + Integrate data from cloud providers, usage logs, telemetry, and AI agent activity streams. **3. Governance, Policy Automation & Cloud Financial Controls** + Implement tagging standards, cost attribution, chargeback/showback frameworks, and compliance policies. + Manage FinOps governance foundations promoting visibility, accountability, and cross-team alignment. **4. Agentic AI Responsibilities** Agentic AI introduces autonomous, reasoning-capable AI agents that perform tasks, invoke APIs, spin up compute, and make resource decisions independently-requiring a new layer of FinOps oversight. **Design & Integrate Agentic AI Workflows into FinOps** + Architect and integrate **Agentic AI systems** that autonomously analyze cloud usage, detect inefficiencies, and propose or execute optimizations. + Incorporate multi-agent systems capable of **proactive anomaly detection, predictive optimization, and autonomous corrective actions** within the cloud and on-prem ecosystem.



**Real-Time AI Agent Cost Visibility & Ownership** + Establish per-agent **cost attribution** , including owner tags, budget identifiers, and full traceability of every model invocation or API call. + Build telemetry pipelines (e.g., OpenTelemetry with cost metadata) capturing **cost_per_call** , decision logs, and tool usage for all agents. **Budgeting, Guardrails & Autonomous Spending Control** + Design **dynamic and iterative budgeting models** , replacing static annual budgets with daily/weekly limit enforcement for agentic workflows. + Implement **policy-driven controls** (e.g., budget throttles, automated revocation, execution guardrails) to manage microtransaction-level spend driven by autonomous agents. + Govern agent estates using enterprise-grade tooling (e.g., Microsoft's Foundry Control Plane) to enforce identity, security, and auditability for AI agent actions. **AI Optimization Agents & Execution Automation** + Leverage or build Citi AI optimization agents (e.g., Azure Copilot Optimization Agent) that automatically analyze performance, compare SKU alternatives, and generate execution-ready automation scripts. + Oversee the safe implementation of agent-suggested optimizations by validating performance impact and compliance before execution. **FinOps for LLM, Multi-Agent & RAG Architectures** + Manage the cost implications of **LLM inference** , multi-agent collaboration, and retrieval-augmented generation (RAG) workflows, where token usage and replication can multiply costs significantly. + Optimize model selection, context length, inference endpoints, and caching strategies to reduce unnecessary LLM consumption. **5. Cross-Functional Collaboration & Stakeholder Leadership** + Partner with FinOps Champions, engineering teams, and business stakeholders to translate cloud and AI cost goals into actionable backlogs. + Promote organizational alignment via shared ownership of cloud and and on-prem AI spending across finance, engineering, and operations. + Communicate complex On-prem, cloud,



and AI cost insights clearly to executives and product teams. **6. Continuous Cloud & AI Optimization Strategy** + Drive ongoing cloud and agent-driven optimization initiatives to reduce waste, prevent cost overruns, and maximize ROI. + Develop long-term cloud, AI, and automation strategy including SKU optimization, licensing, GPU provisioning, and model lifecycle cost management. **Required Qualifications** + Exposure to cloud architecture (AWS, Azure, GCP) with hands-on cost optimization experience. + Good knowledge of FinOps principles, cost models, and cloud financial governance. + Understanding of LLMs, multi-agent architectures, RAG workflows, and AI operational cost models. + Ability to design secure, monitored, and budget-controlled environments for autonomous agents. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Infrastructure ------------------------------------------------------ **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. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Finops Analytics - Assistant Vice President (Chennai)
🏢 Citigroup
📍 Chennai