Ai Security, Governance & Risk Manager

Are you ready to shape the future of technology in one of the world's leading professional services and technology organizations?

We are looking for an experienced Manager specialized in AI Security, Governance & Risk to join an international Tech Hub and Centers of Excellence in Lisbon. In this role, you will lead high-impact, complex transformation projects—driving cutting-edge security solutions for generative and autonomous AI systems from Portugal to the world.

If you have a strong technical background in cloud/application security, deep expertise in AI risk management, and a passion for leading multidisciplinary teams, we want to hear from you!

- To lead AI Security initiatives: Direct platform and application security projects for enterprise AI solutions, acting as the ultimate technical reference in AI Security, Runtime Security, and AI risk management. 

- To define architectures & guardrails: Establish security architectures, standards, and best practices for AI models, autonomous agents, multi-agent systems, workloads, and data pipelines. 

- To guide GenAI & Agentic AI protection: Help clients design secure Generative and Agentic AI applications—including autonomous agents, tool/API integrations, and Model Context Protocol (MCP). 

- To implement runtime security & identity management: Deploy runtime security monitoring, guardrails, identity/access controls, and privilege management to regulate agent behaviors, tool usage, and delegation. 

- To operationalize AI governance & compliance: Establish AI governance frameworks, including policies, system inventories, lifecycle traceability, and human-in-the-loop oversight mechanisms. 

- To conduct risk assessments & mitigation: Perform AI risk and impact assessments, track risk indicators, and mitigate threats such as prompt injection, jailbreaks, data leakage, model abuse, and unauthorized autonomous actions. 

- To translate regulatory requirements: Map regulatory frameworks (such as the EU AI Act, NIST AI RMF, ISO/IEC 42001, and OWASP LLM/Agentic AI Top 10) into technical and organizational controls, supporting maturity and compliance audits. 

- To support business development & innovation: Engage in pre-sales activities, contribute to the development of AI security offerings, and stay ahead of market trends and emerging threats.

- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Information Systems, or a related field. 

- Proven professional experience in application security, cloud platforms, or enterprise infrastructure security. 

- Fluent in English (written and spoken).

- Hands-on background securing GenAI platforms, LLMs, and Agentic AI applications (autonomous agents and multi-agent systems). 

- Solid understanding of AI Runtime Security, Agent Security, AI Guardrails, and Responsible AI principles. Familiarity with tools such as NVIDIA NeMo Guardrails, Azure AI Content Safety, Azure AI Foundry, Google Vertex AI, or AWS Bedrock is a strong plus. 

- Deep familiarity with AI risk/governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act, OWASP). 

- Demonstrated ability to lead high-performing, multidisciplinary teams and manage complex stakeholder environments. 

- Strong analytical thinking, problem-solving mindset, organization, and client-facing orientation.

- Personalized Career Development: A diverse work environment fostering continuous learning and a tailored career development plan matching your goals.

- Global Impact: Participation in high-profile national and international projects within a specialized security domain.

- Continuous Learning: Unlimited access to top online learning platforms (LinkedIn Learning and Udemy) and opportunities for specialized training and certifications in emerging technologies (with a strong focus on Cloud).

- Vibrant Culture: A culture of innovation, excellence, and trust, alongside active tech communities and collaborative initiatives.