Job Title: Senior AI Control & Governance Engineer
Location: Oaks PA
Duration: 6 months (Extendable)
Pay Range: $50-55/Hour on W2/C2C (All Inclusive)
Request ID: 111070-1
Position Summary:
The Senior AI Control and Governance Engineer will establish engineering controls and governance mechanisms to enable safe, secure, compliant, and responsible use of AI across the enterprise.
Key Responsibilities
• Define technical frameworks and controls for responsible AI adoption.
• Translate AI policies and risk requirements into implementable engineering controls.
• Establish controls around model access, data usage, prompts, outputs, logging, and monitoring.
• Develop AI risk-assessment and use-case classification approaches.
• Establish model and solution evaluation criteria before production release.
• Implement controls for data privacy, security, access management, and sensitive information.
• Establish mechanisms for AI observability, traceability, auditability, and human oversight.
• Define testing approaches for AI-related risks such as hallucination, harmful outputs, inappropriate data exposure, and model performance degradation.
• Establish model inventory and governance requirements.
• Partner with cybersecurity, privacy, legal, compliance, risk, data governance, and engineering teams.
• Develop automated governance checks wherever feasible within the AI delivery lifecycle.
Required Skills
• Strong experience in technology risk, security engineering, model governance, AI governance, or related disciplines.
• Understanding of GenAI/LLM architecture and associated enterprise risks.
• Experience implementing technical controls and governance frameworks.
• Knowledge of privacy, data protection, access control, audit, security, and risk-management principles.
• Ability to translate governance requirements into actionable technical designs.
• Strong stakeholder management capabilities.
Preferred Experience
• 8+ years in security, risk, governance, AI/ML, or related disciplines.
• Experience with responsible AI and AI model governance.
• Experience within financial services or another regulated industry strongly preferred.