Cybersecurity Manager - AI Architecture

Boston Consulting Group (BCG); Lisboa; Presencial; EUR 70 000 - 90 000; Tempo integral

Resumo da oferta

A leading global consulting firm in Lisbon is seeking a Cybersecurity Manager focused on AI Architecture. The candidate will lead the secure design of AI systems, ensuring they are built with stringent security controls and practices. Responsibilities include developing security standards for AI technologies, conducting threat modeling, and collaborating with multiple teams. Ideal candidates should have over five years of engineering experience, a solid foundation in cybersecurity, and strong technical skills in AI and cloud environments.

Qualificações

• 5+ years of hands-on engineering experience in relevant fields.
• Strong understanding of AI/ML architectures and MLOps frameworks.
• Experience securing cloud-native platforms and containerized workloads.

Responsabilidades

• Lead the design of secure AI/ML architecture frameworks.
• Develop enterprise security standards for AI platforms.
• Embed security controls into AI CI/CD pipelines.

Conhecimentos

Cybersecurity

AI/ML

Cloud Security

Software Engineering

Python

Formação académica

Bachelor’s or Master’s degree in Computer Science, Cybersecurity

Ferramentas

Kubernetes

AWS

Azure

GCP

Descrição da oferta de emprego

Locations: London | Lisbon

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation‑inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom‑line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading‑edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You’ll Do

We are seeking a highly skilled and technically hands‑on Cybersecurity Manager – AI Architecture to lead the secure design and engineering assurance of AI/ML systems across the enterprise. This role operates as a technical leader and partners with multiple teams across business units—including data science, ML engineering, cloud/platform engineering, application development, security operations, and risk/compliance—to embed secure‑by‑design principles into AI systems.

The ideal candidate brings a strong engineering foundation and thrives on hands‑on technical execution, architectural ownership, and cross‑functional collaboration. They combine deep technical expertise with the ability to influence stakeholders and enable secure, scalable AI adoption across the enterprise.

Key Responsibilities

• Lead the design and implementation of secure AI/ML architecture frameworks aligned with zero‑trust principles.
• Develop enterprise security standards and reference architectures for LLMs, generative AI platforms, and ML pipelines.
• Conduct AI‑specific threat modeling (model poisoning, adversarial attacks, prompt injection, data leakage, model inversion, supply chain risk).
• Embed security controls into AI CI/CD pipelines, MLOps workflows, and DevSecOps processes across business units.
• Ensure secure handling of training data, fine‑tuning datasets, model artifacts, and embeddings through encryption and access governance.
• Secure AI workloads in cloud and hybrid environments (AWS, Azure, GCP), including containerized and Kubernetes‑based deployments.
• Integrate AI systems with enterprise identity and access management, cloud security posture controls, application security scanning, runtime monitoring, and vulnerability management platforms.
• Define AI‑specific logging, telemetry, detection strategies, and incident response readiness.
• Provide hands‑on architectural guidance and code‑level review when required.

What You’ll Bring

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Cybersecurity, or related technical field.
• Strong experience in cybersecurity with demonstrated exposure to AI/ML, cloud, or application security.
• 5+ years of hands‑on engineering experience (software engineering, cloud engineering/SRE, systems architecture, ML engineering, or DevOps).
• Strong understanding of AI/ML architectures and MLOps frameworks.
• Experience with threat modeling methodologies.
• Proficiency in Python and secure coding practices.
• Experience working within enterprise environments that include identity management, cloud posture controls, application security scanning, runtime monitoring, and vulnerability management tools.
• Experience securing cloud‑native platforms and containerized workloads.

Preferred Qualifications

• A technical manager and enterprise security architect.
• Experience implementing NIST AI Risk Management Framework.
• Knowledge of AI governance and emerging AI regulatory compliance requirements.
• Experience with model monitoring, drift detection, AI observability, or adversarial ML testing.
• Hands‑on experience with Kubernetes security, Infrastructure‑as‑Code security, and CI/CD security automation.
• Experience driving cross‑business‑unit security initiatives.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

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