Senior AI Engineer Job at Awin Global (Amsterdam)

Senior AI Engineer

Awin Global

Location:
Netherlands; Germany; Romania; United Kingdom; Spain; Italy; Poland , Amsterdam ▼
Berlin
Hannover
Iași
London
Madrid
Milano
München
Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

About the AI Platform Team The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently. We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence. This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization. About the role We are looking for a Senior AI Platform Engineer - Security & Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin. In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process. This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche.

Job Responsibility:

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
Contribute to approved provider and model guidance, including practical validation and usage expectations
Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls
Help define production-ready expectations for AI systems from a safety, governance, and risk perspective
Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes
Help 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
Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene
Write clear documentation, patterns, and guidance that help teams apply standards consistently
Contribute to strong engineering practices across the team through clean code, testing, and collaboration
Mentor others and help raise the team's overall maturity in AI safety, governance, and privacy-aware engineering

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 those controls to AI- or LLM-powered systems
Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns
Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults
Good understanding of how to make AI systems observable, auditable, and safer to operate in production
Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal
Good 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
Strong communication skills, both synchronous and asynchronous
Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving
Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy

Nice to have:

Experience designing or implementing guardrails for AI or LLM-powered systems
Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns
Familiarity with tracing, auditability, and logging standards for AI systems
Familiarity with evaluation workflows, regression checks, and production readiness practices for AI
Experience assessing third-party AI providers or model usage from a risk or governance perspective
Experience with privacy-by-design patterns in data-sensitive systems
Experience working in regulated or higher-risk environments
Experience writing clear developer guidance and turning repeated risk questions into reusable standards

What we offer:

Flexi-Week and Work-Life Balance: flexible four-day Flexi-Week at full pay and with no reduction to annual holiday allowance
variety of different paid special leaves
Remote Working Allowance: monthly allowance to cover part of running costs
support in setting up remote workspace
Flexi-Office: international culture and flexibility through Flexi-Office and hybrid/remote work possibilities
Meal Vouchers: net sum to spend on lunches
Health & Wellbeing: insurance covering several types of health, vision and/or dental treatments for employee and up to one additional family member
Remote Working Furniture Package: after 3 months of employment, eligible for furniture package

Additional Information:

Job Posted:
May 05, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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