This role focuses on designing and implementing secure AI environments, guiding clients through AI security strategies, and driving innovation in AI security solutions.
Responsibilities:
Be part of our Great and growing security team to consult, design, develop, implement, and support our customers secure AI environments
Lead AI security practice to identify and mitigate security risks associated with the AI and Machine Learning
Lead MCP and Agentic AI architecture and deployments
Identify threats and risks related to AI & ML in the different LLM's including data poisoning, model evasion, extraction, and integrity
Design and implement secure AI architectures with clients
Requirements discovery, architecture, design, and implementation of technical controls in the AI security realm
Develop AI security strategies, policies, and governance frameworks
Support pre-sales activities and lead technical discussions with clients
Stay up to date with evolving AI threats, technologies, and best practices
Promote a security-first mindset in the AI transformation realm
Act as the AI leader, Educate and collaborate with clients technical and management teams (CIOs, CTOs, Architects, DevOps, Security team, etc.)
Collaborate with olur company member firms teams globally, and different teams including data scientists, developers, DevOps and cyber.
5+ years of experience in cybersecurity, with at least 1-2 years in AI security – Must
Technical background and hands-on experience with at least 1 public cloud provider: Azure, AWS, GCP – Must
Good knowledge of different AI threats and security controls
Ability to design, implement and troubleshoot AI services, LLM's, VMs, storage, networking, containers, orchestration, Kubernetes, and security
Strong knowledge of AI security architecture, IAM, network security, encryption, and data protection
Knowledge with AI compliance, ISO 42001, governance, and risk management
Experience with security frameworks and methodologies (e.g., NIST, MITRE ATT&CK, CSA)
Client facing, manages client interactions, expectations, deliverables.
