Senior AI Control and Governance Engineer

• Experience designing, building, or integrating AI/ML systems or data-driven applications in an enterprise environment.
• Experience with data security, privacy, cybersecurity, or related control environments.
• Demonstrated experience translating governance, risk, or compliance requirements into technical controls, automated workflows, or monitoring/observability solutions.
• Hands-on experience implementing technical guardrails or standards for complex systems (e.g., service-level policies, access control, audit logging, monitoring, or approvals).
• Experience designing, implementing, or operationalizing an enterprise AI Governance Framework across the full lifecycle (intake, registration, classification, risk assessment, monitoring, observability).
• Experience developing reusable governance components (e.g., templates, SDKs, APIs, pipelines, policies-as-code) that can be embedded into AI development and deployment workflows.
• Experience establishing common taxonomies and classification schemes for AI or data use cases, including risk categorization and tiering.
• Experience implementing ongoing monitoring and observability for AI systems, including detection and management of Shadow AI and unapproved tools.
• Experience with enterprise governance, risk, and compliance platforms, specifically:
  
  Credo,One Trust
• Experience with AI and data platforms and tooling such as Databricks
• Experience with international AI governance, including:
• Emerging AI regulations (e.g., elements aligned with the EU AI Act or other international frameworks)
• Operating AI governance in multi-jurisdiction, global environments
• Familiarity with AI safety, model risk management, or Responsible AI practices (e.g., fairness, transparency, accountability, robustness).
• Experience in large, complex, and/or highly regulated industries (e.g., defense, aerospace, financial services, healthcare).

• Design and implement technical capabilities that support the AI Governance Framework throughout the AI lifecycle, from intake and registration through monitoring and observability.
• Translate AI policies, standards, and requirements into technical controls and automated governance workflows.
• Develop mechanisms and tooling to identify, register, classify, and assess AI use cases, and drive a common taxonomy for evaluation across the enterprise.
• Establish governance patterns for AI capabilities and develop reusable governance components that can be embedded into AI development and deployment pipelines.
• Automate and define standards for evidence collection and documentation to support governance, audit, and assurance needs.
• Design and implement technical guardrails and best practices for AI systems, including usage constraints, access patterns, and safeguards.
• Partner with Privacy, Legal, Cybersecurity, Global Supply Chain, and other governance bodies to integrate existing enterprise controls into AI systems and workflows.
• Develop or scale capabilities that provide enterprise visibility into AI systems and their lifecycle, including the detection and management of Shadow AI.
• Implement mechanisms for ongoing monitoring and observability of AI systems rather than relying solely on point-in-time assessments.
• Contribute to the continuous improv ement of AI governance practices, patterns, and tooling across the organization

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range $100,000 - $120,000 a year

BACHELOR OF COMPUTER SCIENCE