Artificial Intelligence Engineer- GRC
Key Responsibilities
- Develop, implement, and continuously mature the organization's AI Secure Software Development Lifecycle (AI-SSDLC), ensuring appropriate governance controls are embedded throughout the AI development and deployment process.
- Lead AI security assessments, threat modeling, and risk reviews for AI solutions, including agentic AI, LLM-powered applications, automation platforms, and third-party AI services.
- Establish monitoring, oversight, and control mechanisms to identify security, compliance, privacy, and operational risks within AI environments.
- Partner with Security, Legal, Compliance, Privacy, and Technology teams to define policies, standards, and governance requirements for enterprise AI adoption.
- Maintain AI inventories, risk registers, and governance documentation while supporting regulatory readiness and audit activities.
- Design scalable workflows, automation, and reporting capabilities that improve visibility into AI usage, security posture, and governance effectiveness.
Desired Background
- Strong experience building or operating AI governance, AI-SSDLC, application security, or technology risk programs.
- Knowledge of AI security concepts, including prompt injection, model misuse, excessive permissions, data leakage, trust boundaries, and agent security.
- Experience conducting threat modeling and security reviews using industry-standard methodologies and risk frameworks.
- Familiarity with enterprise AI governance tools, data protection controls, audit capabilities, and risk management platforms.
- Ability to translate complex AI security and governance requirements into practical controls and processes that can be adopted across technical and business teams.
- Strong communication skills with experience presenting risk, governance, and security concepts to technical stakeholders and senior leadership.
Qualifications
- Bachelor's degree in Information Security, Computer Science, Risk Management, or a related field.
- 5+ years of experience in cybersecurity, governance, risk management, compliance, application security, software engineering, or a related discipline.
- Hands-on experience supporting enterprise AI initiatives, including AI governance, AI-enabled automation, machine learning, or generative AI technologies.
- Working knowledge of AI-SSDLC practices, AI risk management frameworks, and AI security controls.
- Familiarity with platforms such as Microsoft Power Platform, AI orchestration tools, governance platforms, data protection technologies, and cloud security controls.
- Understanding of AI threat modeling concepts, agentic workflows, model security, data governance, and access management principles.
- Experience with frameworks such as NIST, OWASP, ISO, or similar security and risk management standards.
- Scripting, automation, or low-code development experience using tools such as Python, PowerShell, or similar technologies preferred.
*** please note no sponsorship is offered
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