Establish and lead the enterprise AI governance, security, and responsible AI framework for a major financial institution. Design policies, guardrails, and standards to ensure safe, secure, and compliant AI deployment across cloud environments. Requires 5+ years of AI security experience, strong cloud security expertise, and executive-level communication skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
If not local, our client does offer a competitive relocation package discussed upon offer.
Base Salary: Targeting the range of $150,000โ$170,000,
Annual Bonus: 15% target,
Relocation Assistance: Comprehensive relocation package available for candidates moving to the Kansas City area,
Interview Process
- Recruiter Screen
- Technical Interview
- Final On-Site Executive Interview in Kansas City
- Finalists outside the Kansas City area will be flown in for the final interview.
ONSITE INTERVIEW REQUIRED
(Relocation Assistance Available)
Position Overview
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.
Key Responsibilities
- 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.
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Required Qualifications
- 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
Technical Expertise
Successful candidates will possess experience in several of the following areas:
- 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
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Ideal Candidate Profile
We're looking for a strategic technology leader who has already helped organizations safely deploy AI into productionโnot 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
What You'll Be Working On
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.
ECCO Select is committed to hiring and retaining a diverse workforce. Our policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Veterans of our United States Uniformed Services are specifically encouraged to apply for ECCO Select opportunities.
Equal Employment Opportunity is The Law
This Organization Participates in E-Verify
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