Principal Security Architect Artificial Intelligence
Principal Security Architect Artificial Intelligence
Portugal - Lisbon APLICAR AHORAJoin our team at Amgen Capability Center Portugal, the #1 company in Best Workplaces™ (201–500 employees category) by the Great Place to Work Institute. With over 400 talented individuals from more than 40 nationalities, our Lisbon center thrives at the intersection of innovation, excellence, and inspiration. This is your opportunity to explore the future of healthcare through technology and digital innovation, supporting our mission To Serve Patients.
PRINCIPAL SECURITY ARCHITECT ARTIFICIAL INTELLIGENCE
At Amgen, Technology isn’t just a support function—it’s a catalyst for discovery, transformation, and real-world impact. Here, your ideas fuel innovation that improves and saves lives of patients in dire need of our medicines. Are you ready to do meaningful work that matters?
LIVE
What you will do
As a Principal Security Architect Artificial Intelligence, you’ll work at the intersection of science, data, and innovation. You’ll collaborate with world-class experts across domains to build high-impact digital solutions that accelerate research, streamline operations, and empower better patient outcomes.
You will lead the design and governance of secure Artificial Intelligence and Machine Learning (AI/ML) systems across our biotechnology ecosystem in Amgen. The Security Architect ensures that advanced AI technologies used in R&D, clinical development, and digital health are resilient, compliant, and ethically designed.
The Security Architect will collaborate with cross-functional teams — cybersecurity, bioinformatics, data science, regulatory affairs, and IT — to integrate security into the AI lifecycle. Responsibilities include establishing architectural standards, threat modeling, secure MLOps design, and regulatory alignment for AI systems critical to scientific innovation and patient outcomes.
Let’s do this. Let’s change the world. In this vital role you will:
Design and enforce enterprise-level AI/ML security architectures for platforms used in drug discovery, genomics, clinical data analysis, and diagnostics.
Ensure security best practices are applied from data acquisition, model training, and validation to deployment, monitoring, and decommissioning.
Lead AI-specific threat modeling to address risks such as adversarial attacks, data poisoning, model inversion, and intellectual property leakage.
Ensure alignment with healthcare and biotech regulations (e.g., HIPAA, GDPR, 21 CFR Part 11, GxP) and contribute to AI governance and ethical risk frameworks.
Architect secure, scalable MLOps pipelines that enable model reproducibility, auditability, version control, and automated security validation.
Act as a trusted advisor to R&D, clinical, data science, and infrastructure teams, providing guidance on secure AI design and deployment.
Evaluate and integrate AI security tools and frameworks for monitoring, explainability, data privacy, and adversarial robustness.
Experience securing containers and orchestrators (Docker, Kubernetes) in AI environments, including runtime security and policy enforcement.
Conduct formal reviews of AI system designs, ensuring alignment with enterprise cybersecurity strategy, architectural standards, and zero-trust principles.
Proficiency in automating security through IaC tools like Terraform, AWS CloudFormation, and CI/CD integration (GitHub Actions, Jenkins, etc.).
Influence enterprise AI security strategy by tracking industry trends, emerging threats, and innovations in synthetic biology, generative models, and AI biosecurity.
Domestic and International travel up to 10%.
WIN
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The tech professional we seek is a creative problem-solver and a team player with these qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, IT or a related field.
5-7+ years of experience designing, developing, or managing machine learning systems, with a strong understanding of AI pipelines.
Knowledge of designing AI systems with traceable training data, model lineage tracking, reproducibility, and audit trail integration.
Experience designing secure MLOps pipelines using tools such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex AI Pipelines.
Familiarity with tools like SHAP, LIME, IBM AI Fairness 360, and Google’s What-If Tool to address AI model transparency and bias.
Hands-on experience implementing security for AI/ML systems used in clinical research, genomics, drug discovery, diagnostics, or digital health.
Demonstrated knowledge of adversarial machine learning techniques and defenses, including model evasion, poisoning, or inversion.
Relevant credentials such as CISSP, CCSP, CISM, Certified AI Security Specialist, or GIAC certifications in machine learning and cloud security.
Knowledge and application of responsible AI practices, AI ethics, model explainability, and governance frameworks such as NIST AI RMF or ISO/IEC 23894.
Experience with AI/ML models applied to protein folding, biomarker discovery, clinical trial optimization, or personalized medicine.
Ability to incorporate threat intelligence into AI risk assessments and apply it to proactive model defense strategies.
Deep understanding of HIPAA, 21 CFR Part 11, GxP, GDPR, and other regulations impacting AI use in healthcare and biotechnology.
Expertise in securing sensitive biomedical and genomic data, including anonymization, encryption, and privacy-preserving machine learning techniques.
Proven ability to collaborate across security, legal, compliance, data science, and executive teams to influence AI risk and strategy.
Fluency in English.
THRIVE
What you can expect of us
As we work to develop treatments that take care of others, we also care deeply for our teammates’ well-being and growth.
Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide.
Modern Tech Stack – Cloud-first, automation-focused, AI-powered.
Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams.
Continuous Learning – Access to certifications, trainings, mentorship, and career mobility.
Amgen Total Rewards Plan – Comprehensive benefits in healthcare, finance, and well-being.
Flexibility – Hybrid work model with time split between our Lisbon office and remote work.
APPLY NOW
Objects in your future are closer than they appear. Join us.
CAREERS.AMGEN.COM
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation