Principal Security Architect, AI Governance and Compliance (Remote)

Since 1998, Businessolver has delivered market-changing benefits technology and services supported by an intrinsic responsiveness to client needs. The company creates client programs that maximize benefits program investment, minimize risk exposure, and engage employees with easy-to-use solutions and communication tools to assist them in making wise and cost-efficient benefits selections. Founded by HR professionals, Businessolver's unwavering service-oriented culture and secure SaaS platform provide measurable success in its mission to provide complete client delight.

**Please be aware of recruitment scams. Businessolver does not make job offers outside of our official hiring process or request payment or sensitive personal information.  You will never receive an offer of employment without meeting a hiring authority and having a "live" and face-to-face conversation.**

Job Overview:

The Principal PM, AI Governance and Compliance owns the technical and operational control layer for AI governance and compliance across the company’s AI-enabled capabilities. This role ensures that AI systems are supported by the right technical standards, review workflows, control points, documentation, evidence, and risk management practices so they can be deployed and operated safely.

This leader works across Security, Legal, Privacy, Product, Engineering, and Architecture to establish practical governance mechanisms that fit how AI systems are designed, built, integrated, monitored, and changed over time. The role requires technical depth in AI system lifecycles, software delivery practices, model and prompt controls, vendor assessments, and evidence-based compliance operations.

The Gig:

Technical Governance for AI Systems

• Define and maintain the governance framework for AI-enabled capabilities across the software and model lifecycle, including intake, design review, implementation controls, testing expectations, deployment review, and ongoing monitoring.

• Establish technical control requirements for AI systems, including documentation standards, model and prompt inventories, traceability, approval paths, and change management expectations.

• Ensure governance requirements are practical for engineering teams and embedded into delivery workflows where possible.

AI Compliance Operations

• Operate the processes required to support internal and external compliance expectations for AI-enabled products and internal AI use cases.

• Maintain evidence, decision records, inventories, risk assessments, and control mappings needed for audits, client diligence, investor diligence, and internal reviews.

• Coordinate responses to AI-related diligence requests and partner with subject matter experts to ensure responses are accurate and supportable.

Risk Controls and Review Paths

• Partner with Security, Privacy, Legal, and Engineering to identify and manage risks related to model behavior, data handling, access patterns, third-party AI services, output quality, explainability, and system changes.

• Build and run review paths for new AI use cases, material updates, and exceptions requiring elevated scrutiny.

• Define escalation criteria, mitigation tracking, and approval workflows for higher-risk AI implementations.

Technical Partnership with Product and Engineering

• Work directly with product and engineering teams to translate policy and control requirements into technical implementation guidance.

• Help teams design compliant approaches for logging, testing, access control, human review, fallback behavior, documentation, and monitoring.

• Influence architecture and delivery decisions so governance is built into systems rather than applied after the fact.

Inventory, Documentation, and Evidence Management

• Maintain current inventories of AI systems, models, vendors, prompts, datasets, and related technical dependencies as required by company governance standards.

• Ensure documentation is complete and usable across lifecycle stages, including design intent, data usage, review outcomes, testing artifacts, and operational controls.

• Improve the tooling and process model for collecting, maintaining, and retrieving governance evidence.

Control Automation and Operational Scale

• Identify opportunities to automate governance activities within engineering and product workflows, including intake routing, policy checks, documentation capture, control verification, and evidence collection.

• Partner with engineering teams to embed governance checks into existing delivery systems and lifecycle tooling.

• Scale governance operations in a way that increases control coverage without creating unnecessary process overhead.

What you need to make the cut:

Education

• Bachelor’s degreerequired in Computer Science, Information Security, Software Engineering, Information Systems, Engineering, or a related technical field.

• Master’s degree preferred in Cybersecurity, Computer Science, Engineering, Information Assurance, Artificial Intelligence, or a related discipline.

• Ongoing professional development in AI governance, secure software delivery, privacy engineering, compliance frameworks, and model risk management expected.

Experience & Skills

• 8+ years of experience in technical product management, security engineering, risk engineering, compliance engineering, platform governance, or a related field.

• Strong technical understanding of AI and software system lifecycles, including APIs, model integration patterns, testing approaches, logging, monitoring, and deployment controls.

• Experience working with governance, compliance, privacy, or security requirements in software products, especially in environments involving sensitive data.

• Proven ability to translate policy and control requirements into technical workflows, engineering requirements, and operating processes.

• Experience coordinating across Legal, Privacy, Security, Product, and Engineering teams on control design and risk management.

• Strong written communication skills, with the ability to produce clear documentation, review artifacts, and diligence materials for internal and external audiences.

Preferred Qualifications

•  Experience governing AI or machine learning systems in production environments.

• Familiarity with emerging AI governance frameworks, model risk management practices, and responsible AI control structures.

• Experience with technical documentation systems, workflow tools, control repositories, and audit evidence management.

• Background in security architecture, privacy engineering, enterprise compliance, or regulated SaaS platforms.

• Experience evaluating third-party AI vendors and integrating vendor controls into internal governance processes.

The pay range for this position is $132,000 to $165,000 per year (pay to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data).

This role is eligible to participate in the bonus incentive plan.

Other Compensation:  If this position is full-time or part-time benefit eligible, you will receive a comprehensive benefits package which can be viewed here: https://businessolver.foleon.com/bsc/job-board-businessolver-virtual-benefits-guide/

Dear Applicant.

At Businessolver, we take our responsibility to protect our clients, employees, and company seriously and that begins with the hiring process.

Our approach is thoughtful and thorough. We’ve built a multi-layered screening process designed to identify top talent and ensure the integrity of every hire. This includes quickly filtering out individuals who may attempt to misrepresent themselves or act in bad faith.

We also partner with trusted, best-in-class providers to conduct background checks, verify identities, and confirm references. These steps aren’t just about compliance, they’re about ensuring fairness, safety, and trust for everyone involved.

Put simply: we will always confirm that you are who you say you are. It's just one of the many ways we uphold the standards that matter most, to you, to us, and to the people we serve.

With heart,
The Businessolver Recruiting Team

Businessolver is committed to maintaining an environment that protects client data. We train our employees to maintain leading class security practices and expect all employees to adhere to policy, procedures and controls.

(Applicable to all roles at an AVP, DIR, VP, Head Of or SVP and above level):

Serve as a security contact for the business unit. Responsible for driving adoption and compliance with information security and privacy practices. Serve as a liaison with the information security team on security and privacy matters.

Equal Opportunity at Businessolver:

Businessolver is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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