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# AI Governance and AWS Cloud Security Architect #11481

- **Company:** Ecco
- **Location:** Kansas City, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Information Leak Prevention, Identity and Access Management, Google Cloud, Cloud Platform System, Large Language Models, Multi-Cloud, Generative AI, AI Platforms, Virtual Agents, Oracle Cloud Infrastructure
- **Published:** July 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6cc00e64e2d993b4

## About the Role

· 5+ years of progressive experience in Information Security, Cloud Security, Security Architecture, Enterprise Architecture, or related disciplines.

· Demonstrated experience designing and implementing AI security and governance frameworks within enterprise environments.

· Experience developing enterprise AI policies, governance standards, and responsible AI practices.

· Hands-on experience securing AI implementations deployed in production environments.

· Strong understanding of AI security risks, including data protection, model security, prompt injection, data leakage, and AI misuse prevention.

· Experience developing governance models for AI agents and enterprise AI platforms.

· Strong cloud security experience, within AWS.

· Experience working with executive leadership and cross-functional stakeholders.

· Excellent written and verbal communication skills with the ability to influence technical and business leaders.

· Strong understanding of enterprise security frameworks such as NIST and modern risk management practices

Preferred Qualifications

· AWS security architecture experience

· Multi-cloud experience including Azure, Oracle Cloud, or Google Cloud Platform

· Experience implementing governance for Generative AI and Large Language Models (LLMs)

· Experience building AI guardrails and enterprise AI control frameworks

· Financial services or other highly regulated industry experience

· Familiarity with emerging AI governance standards and regulatory requirements

· Experience establishing AI governance programs from the ground up, · AI Security

· Enterprise AI Governance

· Responsible AI

· AI Risk Management

· AI Guardrails

· AI Agent Governance

· Enterprise Architecture

· AWS Cloud Security

· Cloud Security Architecture

· Information Security

· Security Frameworks (NIST, CIS, ISO 27001)

· Data Protection

· Identity and Access Management

· Enterprise Policy Development

· Risk and Compliance

Ideal Candidate Profile

We're looking for a strategic technology leader who has already helped organizations safely deploy AI into production-not someone whose experience is limited to personal AI experimentation or proof-of-concept projects.

The ideal candidate will demonstrate:

· Experience building enterprise AI governance programs from scratch

· Production AI implementation experience

· Strong AI security expertise within cloud environments

· Executive-level communication and presentation skills

· Proven ability to influence organizational AI strategy

· Experience balancing innovation with security, compliance, and risk management

· Strategic architectural thinking with the ability to translate complex technical concepts into business decisions

## Description

Seeking an experienced AI Governance & Security Architect to establish and lead the governance, security, and responsible AI framework for the enterprise AI platform. This is a newly created, high-impact role that will define how artificial intelligence is deployed safely, securely, and responsibly across the organization.

This is a strategic architecture position, not an operational engineering or security operations role. The successful candidate will partner closely with executive leadership, cloud engineering, AI development teams, Information Security, Risk, Compliance, and Enterprise Architecture to build the policies, guardrails, and governance structures that enable secure AI adoption across the enterprise.

The ideal candidate has already designed and implemented AI governance and security programs within production enterprise environments and understands the unique challenges associated with deploying generative AI and AI agents in regulated industries., · Develop and implement enterprise AI governance strategies, policies, and standards.

· Design and establish AI security guardrails that protect sensitive customer and financial information.

· Create responsible AI policies governing enterprise AI usage, including acceptable use, risk management, and compliance requirements.

· Design governance frameworks for AI agents and autonomous AI capabilities.

· Partner with executive leadership to ensure AI initiatives align with business objectives, security requirements, and regulatory expectations.

· Collaborate with Information Security, Risk Management, Compliance, Legal, and Enterprise Architecture teams to define governance processes for AI adoption.

· Evaluate emerging AI technologies and recommend governance controls to mitigate organizational risk.

· Define security standards for enterprise AI platforms operating within cloud environments.

· Develop documentation, governance artifacts, reference architectures, and implementation guidance for enterprise AI initiatives.

· Help establish enterprise approval processes for AI solutions and emerging AI use cases.

· Continuously refine governance policies based on production experience, evolving regulations, and industry best practices.

· Serve as a trusted advisor to executive leadership on AI governance, security, and responsible AI strategy., Examples of initiatives include:

· Designing enterprise AI governance frameworks

· Defining AI security guardrails

· Establishing responsible AI policies

· Preventing misuse of customer and financial data

· Creating enterprise AI usage standards and documentation

· Developing governance models for AI agents

· Supporting enterprise approvals for AI initiatives

· Advising leadership on AI security strategy and governance best practices

Team Environment

You'll join a growing Enterprise AI organization, partnering with Cloud Engineers, AI Developers, Data Professionals, Information Security, Risk, Compliance, and executive leadership to shape the future of AI across the bank.

This is a unique opportunity to build the AI governance and security foundation for a major financial institution. You'll have the opportunity to influence enterprise AI strategy from the ground up, work directly with executive leadership, and establish the standards that will guide responsible AI adoption across the organization for years to come.


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