AI Privacy Engineer – Hybrid Lisbon

HumanIT Digital Consulting

AI Privacy Engineer ensuring GDPR and EU AI Act compliance in a major AI transformation for logistics. Working with interdisciplinary teams across multiple countries to secure data protection in AI use cases.

Posted 6/22/2026full-timeLisbon • 🇵🇹 PortugalMid-LevelSenior💰 €2,200 - €2,900 per monthWebsite

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Hard Skills

data protection engineeringprivacy rolesGDPRDPIAsAI risk analysesLLMsRAG architecturesvector storesinternational data transferstechnical guidance

Soft Skills

influencing stakeholdersoperating under ambiguitypragmaticoutcome-driven

Tools & Technologies

PineconeAzure AI Search

Certifications & Qualifications

LL.B.LL.M.CIPP/E

Industry Keywords

AI data protectionEU AI Actdata subject rightscompliance governancestructured documentation

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Owning the AI data protection gate for all Central AI use cases, producing decision-ready evidence and go/no-go recommendations
Translating GDPR, EU AI Act and internal policy requirements into actionable technical guidance for AI engineers
Conducting DPIAs and AI risk analyses across LLM, RAG, agent and agentic platform architectures
Establishing and maintaining structured documentation: data flows, RoPAs, design decisions, controls and safeguards
Coordinating data subject rights requests involving AI systems and leading readiness for AI-related personal data incidents
Enabling scalable, auditable compliance governance across a multi-country environment

Requirements

What you’ll need

Degree in Computer Science, Engineering or a related technical field, or a fully qualified lawyer in an EU jurisdiction with substantial technology experience
Additional qualification in law or privacy: LL.B., LL.M., CIPP/E or equivalent EU-recognised credential
3+ years of hands-on experience in data protection engineering or privacy roles, ideally in an international corporate environment
Strong working knowledge of the GDPR — lawful basis, data subject rights, international transfers, accountability obligations
Solid technical understanding of modern AI systems: LLMs (e.g. GPT-4, Claude), RAG architectures, vector stores (e.g. Pinecone, Azure AI Search), agents and tool-use patterns
Practical experience conducting DPIAs and managing international data transfers at scale
Demonstrated ability to challenge solution design and influence technical and non-technical stakeholders at all levels
Comfortable operating under ambiguity; pragmatic and outcome-driven
Fluent English (written and spoken) — mandatory

Benefits

Comp & perks

15th month salary
Health insurance covering your family
Birthday off
Mobility program for digital nomads
Real work-life balance