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.

Qualifications

• 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.