Senior AI Platform Engineer (Security & Governance) – Europe (Remote/Hybrid) | Visa + Salary Insights

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This role sits within a high-impact AI Platform Engineering team focused on building safe, scalable, and production-ready AI systems across a global organization. The position centers on AI security, governance, privacy, and responsible AI adoption, enabling engineering teams to move from experimentation to enterprise-grade deployment.

The ideal candidate is a Senior AI Engineer (5+ years) with strong platform thinking, capable of designing guardrails, reusable safety patterns, and governance mechanisms for LLM-based systems. This is not a pure research role — it requires hands-on engineering, strong architectural judgment, and the ability to translate risk and policy into practical system-level controls.

🌍 Work Eligibility & Location

This is a highly flexible Hybrid / Remote-friendly European role with multi-location collaboration. While relocation and visa support are not clearly stated, candidates within Europe have the strongest alignment due to distributed engineering hubs and regulatory alignment with EU privacy frameworks.

💰 Salary Intelligence

This is a Senior-Level platform engineering role with strong AI governance ownership. Compensation is expected to be highly competitive given the combination of AI infrastructure, security, and enterprise-scale responsibility. Total compensation may also include benefits such as remote allowances, healthcare coverage, and flexible work policies.

📊 Role Breakdown

This role focuses on building the foundational safety and governance layer for AI systems used across the organization. You will design and implement AI guardrails, privacy controls, and governance patterns that ensure scalable and responsible deployment of LLM-powered applications.

A core part of the work involves translating abstract policy requirements into concrete engineering systems such as validation pipelines, readiness checks, logging frameworks, and observability tooling. You will define how models are approved, monitored, and controlled in production environments while maintaining developer velocity.

You will also work closely with Security, Legal, and Architecture teams to embed risk-aware design principles into AI workflows. This includes handling PII protection, model/provider risk assessment, unsafe output mitigation, and auditability standards.

Additionally, you will contribute to platform-wide engineering quality by building reusable SDKs, APIs, and internal tooling that support safe AI adoption. Expect heavy involvement in Python, TypeScript, CI/CD pipelines, and observability systems. This is a high-leverage role where your decisions directly influence how AI is safely deployed across multiple teams.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a very competitive Senior-Level position due to its intersection of AI infrastructure and security governance. Candidates are expected to demonstrate deep engineering maturity, especially in designing scalable systems that enforce safety without slowing development teams.

🚀 Career Impact

This role offers strong long-term value for engineers aiming to move into AI architecture, platform leadership, or governance-focused engineering leadership. It builds rare expertise at the intersection of AI systems and enterprise-grade safety infrastructure.

📋 Key Responsibilities

You will design and implement AI governance frameworks that standardize safe usage of LLMs across engineering teams. Responsibilities include building guardrails, validation layers, and policy enforcement systems that reduce AI-related risks such as data leakage and unsafe outputs.

You will also develop observability and tracing systems for AI workflows, ensuring that model decisions and outputs are fully auditable. Another key responsibility is defining approved model/provider usage standards and maintaining safe integration patterns across multiple teams.

In addition, you will collaborate with cross-functional stakeholders to translate compliance and security requirements into actionable engineering solutions. This includes improving CI/CD pipelines, testing frameworks, and deployment safety checks for AI systems. Your work will directly shape how AI is safely adopted at scale.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This is a high-demand, senior AI infrastructure role with strong competition across Europe. Early applications significantly improve visibility due to limited specialized talent in AI governance engineering. Candidates with proven production AI systems experience will have a strong advantage.

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✅ Job Source & Verification

This listing is based on an official Awin engineering job post for a Senior AI Platform Engineer. The information reflects a reliable, primary-source company posting and is aligned with current European AI platform engineering hiring standards. Last updated: May 2026. Always verify final details on the official Awin careers page before applying, as responsibilities and compensation structures may evolve.