AI Governance Arcitect

Fractal Analytics Inc; New Jersey; On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Health, dental and vision benefits

401(k) plan with company match

Parental leave and paid holidays

Paid time off (PTO)

Job summary

Fractal Analytics Inc. is seeking an experienced AI Governance Architect to establish enterprise-wide AI governance capabilities for a leading financial services organization.

You will define governance frameworks, build an AI Registry, govern AI agents and applications, and design evaluation frameworks to ensure responsible, compliant, scalable AI adoption across the enterprise. The ideal candidate combines expertise in enterprise architecture, risk management, and regulatory needs with

Qualifications

• 5+ years designing and implementing AI Governance or Model Governance frameworks.
• Experience building enterprise inventories, asset registries, or catalog solutions.
• Strong knowledge of AI Governance, Responsible AI, and AI Risk Management.
• Hands-on experience with evaluation methodologies for LLMs, AI agents, and GenAI applications.
• Excellent communication and leadership across stakeholders.

Responsibilities

• Define enterprise AI Governance strategy, operating model, standards and controls.
• Build and manage an enterprise AI Registry/inventory across agents, models, tools, and apps.
• Govern AI agents and multi-agent ecosystems with auditability and explainability.
• Design enterprise AI Evaluation Frameworks for testing, bias, and performance.
• Lead risk, compliance and governance efforts with senior leadership.

Skills

Enterprise Architecture

AI Governance

AI/ML Platforms

Risk Management

Agentic AI Governance

Model Governance

Cloud Platforms

Education

Bachelor's or Master's in CS/Engineering/Data Science/IS

Tools

Claude LLM

OpenAI Custom GPTs

AWS Bedrock

AWS SageMaker

AWS Lambda

IAM

Job description

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 GPTsAWS BedrockAWS AI/ML ServicesAI Agent PlatformsMCP-based ecosystems.
  Define architectural patterns for secure, scalable, and compliant AI deployments.
  Establish governance controls for model access, prompt management, data usage, and external AI integrations.
• Risk, Compliance & Audit
  Conduct AI governance assessments and risk reviews.
  Support regulatory compliance initiatives specific to Financial Services.
  Develop governance dashboards, audit trails, compliance reporting, and executive-level metrics.
  Maintain comprehensive documentation supporting regulatory, internal audit, and model risk requirements.
• Stakeholder Leadership
  Act as the enterprise subject matter expert for AI Governance and AI Architecture.
  Drive adoption of governance processes across business and technology teams.
  Present governance roadmaps, risk assessments, and recommendations to senior leadership and governance committees.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• 10+ years of experience in Enterprise Architecture, Technology Governance, AI/ML Platforms, or Risk Management.
• 5+ years of experience designing and implementing AI Governance or Model Governance frameworks.
• Demonstrated experience building enterprise inventories, asset registries, governance repositories, or catalog solutions.
• Strong knowledge of: AI GovernanceResponsible AIAI Risk ManagementModel Lifecycle ManagementAgentic AI GovernanceEnterprise Architecture
• Experience working with: Claude LLMOpenAI / Custom GPT implementationsAWS Cloud Services (Bedrock, SageMaker, Lambda, IAM, etc.)
• Hands‑on experience defining evaluation methodologies for LLMs, AI agents, and GenAI applications.
• Experience defining governance controls across AI agents, applications, and enterprise AI platforms.
• Strong understanding of data privacy, cybersecurity, and regulatory requirements within Financial Services.
• Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

• Experience building an enterprise AI Registry from concept through implementation.
• Experience governing Agentic AI ecosystems, MCP servers, AI marketplaces, or AI service catalogs.
• Familiarity with model risk management (MRM) frameworks used within Financial Services organizations.
• Knowledge of banking, asset management, wealth management, capital markets, or insurance domains.
• Experience with AI observability, monitoring, evaluation, and governance tooling.
• AWS Solutions Architect, AWS Machine Learning Specialty, TOGAF, or equivalent professional certifications.
• Experience supporting enterprise AI transformation initiatives and governance operating models at scale.
• Understanding of emerging industry standards related to AI governance, responsible AI, and agent governance.

Pay

Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $180,000 to $200,000 Yearly. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits

• As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time.
• You will be eligible for benefits on the first day of employment with the Company.
• In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
• The Company provides 11 paid holidays and 12 weeks of Parental Leave.
• We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting‑edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end‑to‑end data‑to‑decision journey.