Senior AI Engineer (f/m/d)

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.

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 deploymentStrong 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

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

Tools and technologies you may work with:

Python

JavaScript / TypeScript

Azure / AWS

LLM APIs

CI/CD tooling

Observability and tracing tools

Policy and validation patterns

Internal platform services, standards, and governance tooling

Working style

We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value.

A strong fit for this role is someone who:

Thinks clearly about real-world AI risk, not just theoretical concerns

Can balance safety, speed, and developer experience

Communicates clearly and helps others understand trade-offs

Prefers reusable controls and automation over manual gatekeeping

Is comfortable collaborating across engineering, security, architecture, and legal boundaries

Writes clear, actionable guidance rather than vague policy language

Is proactive about identifying risk patterns early and turning them into scalable solutions

Enjoys helping other engineers build safer systems without slowing them down unnecessarily

Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.

Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.

Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions

Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.

Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.

Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location

Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

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.

What youʼll do

Define and improve practical guardrails and safe defaults for AI-powered systems

Help shape Awinʼs 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 teamʼs overall maturity in AI safety, governance, and privacy-aware engineering