AI Architect - Agents, Ethics and Governance

• Experience in solution architecture with AI agents.
• Solid knowledge of AI models, responsible AI, and explainability.
• Experience or knowledge in AI governance and traceability.
• Knowledge in bias evaluation and AI risk management.
• Knowledge of data security, privacy, and regulatory compliance.
• Ability to define responsible use controls and operational limits.

We are looking for someone with:

• Analytical thinking and decision-making ability.
• High ethical standards and security orientation.
• Rigor in documentation and attention to detail.
• Discretion and responsibility in the handling of sensitive information.
• Clear communication and ability to interact with technical and non-technical profiles.
• Ability to work in multidisciplinary teams.

It will be valued

• Experience in Defense, Public Administration, or critical environments.
• Knowledge of MLOps / LLMOps.
• Experience in model evaluation and validation.
• Knowledge of algorithmic auditing.
• Experience in autonomous systems security.
• Certifications such as CISSP, CISM, ISO 27001 or certifications related to responsible AI, Cloud security, privacy, or data governance.

Education

• Degree in Computer Science, Telecommunications, Artificial Intelligence, Cybersecurity or similar.
• A Master's in AI, Cybersecurity, or Data Governance will be valued.

• Minimum B2 English recommended; C1 valued.

Are you passionate about Artificial Intelligence and do you want to participate in projects where AI security, ethics, and governance are fundamental?

At Beigar, we are looking for a Responsible AI and Security Architect to join a strategic project, working on the design of solutions based on AI agents in high-demand environments and with sensitive information.

You will be responsible for defining secure, explainable, and governed AI architectures, establishing the necessary controls and limits to guarantee the responsible use of these technologies.

Your main responsibilities will include:

• Design solution architectures based on AI agents.
• Define security controls, restrictions, and operational limits.
• Guarantee the traceability and explainability of the solutions.
• Evaluate risks, biases, and impacts associated with the use of AI.
• Establish criteria for the responsible use of AI and control mechanisms.
• Work on aspects of privacy, data security, and regulatory compliance.
• Document architecture decisions, evidence, and recommendations.
• Collaborate closely with technical, legal, and operational teams.
• Align solutions with the requirements and restrictions applicable in NATO environments.