refresh

Trending Companies

Trending

Jobs

JobsAmgen

Principal Security Architect Artificial Intelligence

Amgen

Principal Security Architect Artificial Intelligence

Amgen

Portugal - Lisbon

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Learning Budget

Flexible Hours

Remote Work

Healthcare

401k

Learning

Flexible Hours

Remote Work

Required Skills

Enterprise security architecture

Cloud security

Container security

Identity and access management

Zero trust principles

Data protection

Threat modeling

AI/ML security

DevOps/MLOps

Compliance and regulations

Career Category

Information Systems:

Job Description

Join 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.

  • 7+ years of experience in enterprise security architecture, including designing and implementing secure systems across large-scale, cloud-based environments.

  • Strong knowledge of cloud security, container security, identity and access management, zero trust principles, network security, and secure application design.

  • Knowledge and understanding of HIPAA, EU AI Act, GxP, GDPR, and other regulations impacting AI use and their application in enterprise environments.

  • Ability to design and enforce data protection strategies, including DLP, data classification, encryption, anonymization, and/or privacy-preserving technologies.

  • Familiarity with securing AI/ML systems, with a focus on risk management, governance, and integration into enterprise security posture.

  • Understanding of secure DevOps/MLOps principles and how they align with enterprise security standards.

  • Knowledge of threat modeling, risk assessments, and integration of threat intelligence into enterprise security strategies.

  • Relevant credentials such as CISSP, CCSP, CISM, or equivalent enterprise security certifications. AI-specific certifications are a plus but not required.

  • Ability to collaborate across security, legal, compliance, data science, and executive teams to influence AI risk evaluation and strategy.

  • Familiarity with AI-focused security and compliance standards and guidelines, such as OWASP Top 10 for LLMs and NIST AI Risk Management Framework.

  • Experience in implementing enterprise end-to-end AI pipelines in a cloud environment using Python, Tensor Flow, and/or Py Torch is a plus.

  • Experience in implementing security for AI/ML or designing secure MLOps pipelines using tools such as MLflow, Kubeflow, Sage Maker Pipelines, or Vertex AI Pipelines is a strong plus.

  • 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

.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Amgen

Amgen

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

Employees

Thousand Oaks

Headquarters

$138B

Valuation

Reviews

3.8

2 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

3.0

Career

4.0

Management

3.0

70%

Recommend to a Friend

Pros

Professional development opportunities

Exposure to diverse functions and projects

Large-scale project experience

Cons

Understaffed with high output expectations

Limited permanent job opportunities

Temporary contract limitations

Salary Ranges

1,544 data points

L2

L3

L4

L5

L6

L2 · Financial Analyst L2

0 reports

$94,068

total / year

Base

$37,627

Stock

$47,034

Bonus

$9,407

$65,848

$122,288

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience