AI Security Engineer

Amgen; Lisboa; Presencial; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

AMGEN Capability Center Portugal in Lisbon is seeking an AI Security Engineer to join a hands-on security team focused on protecting AI/ML systems at scale.

You will design and implement AI security controls, deploy tooling and automation on AWS, and integrate security into MLOps, CI/CD, and cloud-native pipelines across AI platforms, models, and agents.

Responsabilidades

• Design and implement AI security controls for AI/ML applications, platforms, models, APIs, agents, and supporting infrastructure.
• Deploy security tooling and automation using AWS cloud infrastructure and APIs to integrate AI security testing and controls into engineering workflows.
• Integrate security into MLOps, LLMOps, DevSecOps, and CI/CD pipelines, enabling automated security validation throughout the AI development lifecycle.
• Threat model AI systems and applications, translating risks into practical engineering requirements, mitigations, tests, and security controls.
• Secure generative AI and agentic AI systems, including model endpoints, RAG, vector databases, tools, agent workflows, identity boundaries, and external integrations.
• Evaluate and integrate AI security technologies for runtime protection, testing, data protection, observability, and AI security posture management.
• Implement security controls for cloud-based AI platforms and services across enterprise cloud environments.
• Secure containerized AI workloads on Docker and Kubernetes, including workload identity, secrets management, network controls, runtime security, and policy enforcement.
• Implement infrastructure and security controls as code using Terraform or similar tools.
• Partner with AI and platform engineering teams to investigate threats, develop mitigations, and drive remediation.
• Support security reviews of AI systems and provide actionable engineering recommendations and practical solutions.
• Deploy monitoring and detection capabilities for security-relevant AI activity, misuse patterns, anomalous behavior, and emerging attack techniques.

Descrição da oferta de emprego

Join our team at AMGEN Capability Center Portugal , consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture.

We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.

This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more.

Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients.

What we do at AMGEN matters in people’s lives.

AI SECURITY ENGINEER

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 the lives of patients in need of our medicines. Are you ready to do meaningful work that matters?

LIVE

What you will do

As an AI Security Engineer , you’ll work at the intersection of cybersecurity, artificial intelligence, data, and biotechnology. You will help build and operate the security capabilities that enable Amgen teams to develop and deploy AI safely at enterprise scale.

This is a hands-on engineering role . You will design, build, automate, test, and integrate security controls across AI and Machine Learning (AI/ML) platforms, applications, models, agents, and MLOps/LLMOps pipelines. You will partner closely with AI engineers, data scientists, platform engineers, application security teams, cloud security teams, and other cybersecurity functions.

You will apply security throughout the AI lifecycle—from data ingestion and model development through deployment, inference, monitoring, and retirement—and help Amgen address emerging security challenges associated with generative AI, large language models, AI agents, and traditional machine learning.

Let’s do this. Let’s change the world. In this vital role you will:

• Design and implement AI security controls for AI/ML applications, platforms, models, APIs, agents, and supporting infrastructure.
• Deploy security tooling and automation , primarily using AWS cloud infrastructure and APIs, to integrate AI security testing and controls into engineering workflows.
• Integrate security into MLOps, LLMOps, DevSecOps, and CI/CD pipelines , enabling automated security validation throughout the AI development lifecycle.
• Threat model AI systems and applications , translating identified risks into practical engineering requirements, mitigations, tests, and security controls.
• Secure generative AI and agentic AI systems , including model endpoints, retrieval-augmented generation (RAG), vector databases, tools, agent workflows, identity boundaries, and external integrations.
• Evaluate and integrate AI security technologies , including capabilities for AI runtime protection, model and application testing, data protection, observability, and AI security posture management.
• Implement security controls for cloud-based AI platforms and services across enterprise cloud environments.
• Secure containerized AI workloads running on technologies such as Docker and Kubernetes, including workload identity, secrets management, network controls, runtime security, and policy enforcement.
• Implement infrastructure and security controls as code using technologies such as Terraform, cloud-native infrastructure-as-code tooling, or similar technologies.
• Partner with AI and platform engineering teams to investigate threats, develop mitigations, and drive identified security issues through remediation.
• Support security reviews of AI systems and provide actionable engineering recommendations and practical solutions.
• Deploy monitoring and detection capabilities for security-relevant AI activity, misuse patterns, anomalous behavior, and emerging attack techniques.