Senior AI Engineer (f/m/d)

The AI Platform Team at Awin enables teams to build, ship, and operate AI-powered products safely, consistently, and efficiently. The team focuses on shared platform and enablement layers for AI development across the company, including reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance to help teams move from experimentation to production with confidence.

• 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

• 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