AI Governance Arcitect

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal. AI Governance Architect Role Summary We are seeking an experienced AI Governance Architect to establish and operationalize enterprise-wide AI governance capabilities within a leading Financial Services organization. This role will be responsible for defining AI governance frameworks, building and managing an enterprise AI Registry, governing AI agents and AI applications, and designing evaluation frameworks to ensure responsible, compliant, and scalable AI adoption. The ideal candidate will combine expertise in enterprise architecture, AI/Agentic AI governance, cloud platforms, risk management, and Financial Services regulations, with experience working across technologies such as Claude LLM, OpenAI Custom GPTs, AWS, AI Agents, MCP Servers, and enterprise AI applications . Key Responsibilities AI Governance Strategy & Framework Define and implement the enterprise AI Governance strategy, operating model, standards, and control frameworks. Establish governance scope covering AI models, AI agents, GenAI applications, MCP servers, AI tools, prompts, datasets, and supporting infrastructure. Create policies, lifecycle controls, approval workflows, and risk management processes for AI assets. Partner with Risk, Compliance, Security, Legal, Data, and Business stakeholders to operationalize AI governance. AI Registry & Enterprise AI Inventory Define the vision, architecture, and operating model for an enterprise-wide AI Registry . Design and build a centralized inventory encompassing: AI AgentsMCP ServersAI ApplicationsAI ToolsLLMs and Foundation ModelsPrompts and Prompt LibrariesAI Services and APIs Ensure the registry serves a dual purpose: Discovery Platform for users to identify approved AI assets and capabilities. Governance Platform for managing ownership, compliance, risk, and lifecycle controls. Define metadata standards, ownership models, classification schemes, and governance workflows. Establish inventory management processes across business units and technology functions. AI Agent Governance Define governance standards and controls for Agentic AI and autonomous workflows. Establish requirements around auditability, explainability, human oversight, monitoring, and accountability. Develop governance guardrails for multi-agent ecosystems and interactions with enterprise systems. Create standards for onboarding, certification, and production deployment of AI agents. AI Evaluation & Testing Framework Design and implement an enterprise AI Evaluation Framework covering: Functional testingAccuracy and performance validationHallucination testingRisk and compliance validationSecurity testingPrompt testing and evaluationBias and fairness assessmentAgent behavior validationBusiness outcome measurement Define what must be tested at each stage of the AI lifecycle. Establish evaluation metrics, benchmarks, acceptance criteria, and approval workflows. Enable continuous monitoring and post-production governance processes. Architecture & Platform Governance Define governance standards for AI solutions leveraging: Claude LLMOpenAI Custom GP…

View the full posting and apply