Technical Engineering Lead (Portugal)
HiddenLayer1 day ago
Lisbon, PortugalStaff+
Responsibilities
- Define the architecture, service boundaries, data models, APIs, workflows, and integrations for the EU AI Act Compliance Engine.
- Design and implement a versioned, testable, explainable regulation-as-data rules engine.
- Build automated AI-system obligation and risk-tier mapping across prohibited, high-risk, limited-risk, and minimal-risk classifications.
- Create conformity-assessment workflows for governance teams and develop secure, reliable, observable cloud-native services.
- Establish practices for testing, CI/CD, code review, documentation, observability, incident readiness, and secure SDLC execution.
- Validate rules and risk-tiering logic against representative AI systems and regulatory scenarios.
- Partner with product, security, legal, governance, and engineering stakeholders to translate requirements into technical deliverables.
- Provide technical direction and mentorship while helping establish the Portugal R&D engineering culture.
Requirements
- At least 8 years of experience delivering production systems and making architecture decisions across complex technical domains.
- Strong professional experience with Python and Golang, cloud architecture, distributed systems, APIs, data modeling, and secure software development.
- Ability to turn complex and evolving requirements into technical models, maintainable rules, and reliable workflows.
- Hands-on leadership skills, including production coding, design review, troubleshooting, technical communication, and mentorship.
- Interest and judgment in AI, cybersecurity, governance, risk, and regulation.
- Based in Lisbon and professionally fluent in English.
- Preferred: experience with compliance, governance, risk, audit, policy, workflow, or rules-driven enterprise software.
- Preferred: knowledge of the EU AI Act, AI governance, model risk management, conformity assessment, or related regulatory frameworks.
- Preferred: experience with machine-learning platforms, MLOps, AI infrastructure, security products, cloud security tooling, GRC platforms, or enterprise integrations.
- Preferred: experience with AWS or Azure, Docker, Kubernetes, event-driven systems, workflow engines, policy-as-code, API gateways, service-oriented architectures, distributed systems, and infrastructure as code.
- Preferred: familiarity with observability practices and tools for metrics, logs, traces, service health, and operational diagnostics.
- Preferred: a master’s degree or equivalent advanced training in computer science, software engineering, artificial intelligence, cybersecurity, or a related discipline.
Benefits
- Fully remote global work arrangement with a home-office setup stipend, annual workspace upgrades, and monthly internet/phone stipend.
- Health and wellness benefits including vision, dental, and 401k offerings.
- Unlimited and flexible time off for salaried employees plus paid company holidays.
- Dedicated learning and development fund for training, conferences, certifications, and industry events.
- Diversity, equity, and inclusion commitment and equal-opportunity employment.
About HiddenLayer
HiddenLayer builds an AI security platform that protects generative, predictive, and agentic systems from threats such as prompt injection, model theft, and data poisoning. Its AISec Platform spans model scanning, runtime detection and response, posture management, supply‑chain safeguards, and automated red teaming for enterprise and public‑sector deployments. Founded in 2022 and headquartered in Austin, Texas, the company is privately held and backed by investors including Microsoft’s M12, IBM Ventures, and Capital One Ventures.