Senior AI Platform Engineer - Security & Governance
New
A
Awin AI Platform
Amsterdam, North Holland, Netherlands; Berlin, Berlin, Germany; Hannover, Lower Saxony, Germany; Iași, Iași, Romania; London, England, United Kingdom; Madrid, Madrid, Spain; Milano, Milan, Italy; München, Bavaria, Germany; Warsaw, Masovian Voivodeship, PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonCloud ComputingJavascriptTypeScriptCI/CDLLM
Requirements
- Strong software engineering fundamentals and experience working on production systems
- Practical experience in security, governance, privacy, compliance, or risk-related engineering work
- Clear hands-on experience applying controls to AI- or LLM-powered systems
- Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, and provider/model risk
- Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults
- Ability to work effectively with engineers, architects, and non-engineering stakeholders
- Practical experience with Python and/or JavaScript / TypeScript
- Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration
- Good understanding of information security and how to design solutions with security in mind
- Comfortable applying unit testing, continuous integration, and continuous deployment
Responsibilities
- Define and improve practical guardrails and safe defaults for AI-powered systems
- Help shape Awin's approach to privacy, PII handling, and data-safe patterns for AI workflows
- Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls
- Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes
- Improve logging, tracing, and observability practices so AI systems are auditable and safer to operate
- Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate
- Mentor others and help raise the team's overall maturity in AI safety, governance, and privacy-aware engineering
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