IT Integration Engineer (f/m/d)

Awin

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. 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 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 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 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 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 Our Offer * Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. * Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. * Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. * Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. * Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. 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

IDnow

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability. The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries. This position is based in Rennes, France.   By joining our Engineering team, you won't just be a tester — you'll be at the heart of quality for complex AI systems, working hand in hand with our research team. That's rare. That's exciting. And that's what we offer.   As a Senior QA Engineer, you will play a key role in the reliability and robustness of our AI/ML-based identity verification services. You will work day-to-day alongside our data scientists, researchers, and software engineers to design test strategies that match the complexity of our systems. This role is also central to our delivery chain: you will be a key player in our CI/CD pipeline, ensuring every release is production-ready. KEY RESPONSIBILITIES   * Design, develop, and maintain robust automated tests in Python * Debug complex components related to AI/ML models and distributed architectures * Own and improve our CI/CD pipeline (GitLab CI): test integration, deployment management, and continuous improvement * Work closely with the R&D team to anticipate quality risks from the design stage * Identify, document, and track bugs throughout their full lifecycle * Actively participate in Agile/Scrum ceremonies and contribute to high-quality releases * Share best practices and raise the QA bar across teams   PREFERRED EXPERIENCE   * 3+ years of experience in QA and test automation on complex systems * Strong hands-on skills in Python for automation (pytest, Locust, etc.) * Experience working with AI/ML systems (model testing, data pipeline validation, etc.) * Solid expertise in CI/CD: building, maintaining, and improving pipelines (GitLab CI or equivalent) * Experience in API testing (Postman, REST Assured, or similar) * Ability to dive deep into complex code to find the root cause of a bug — you don't wait to be guided, you dig in * Autonomous, analytical mindset with a taste for technically demanding environments * Fluent English and French (written and spoken) WHAT YOU GET : * A privileged collaboration with a world-class research team * A stimulating technical environment: AI, image processing, anti-fraud * Real impact on products used at a European scale * An engineering culture that values autonomy and skills development PERKS & BENEFITS * Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions. * We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification. * We make your remote work comfy: we provide support on equipment and offer flexible working hours. * We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work. * May your family require your attention or other reasons apply: use the benefit of our paid special leave days. * Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities. * In addition to the perks & benefits above, we offer specific benefits that differ between our locations.   IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.

IDnow

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability. The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries.   This position is based in Munich, Germany.   As a Solution Engineer at IDnow, you sit at the intersection of sales and engineering. You are a trusted advisor, a platform architect, and a business consultant, all in one.  You will work alongside our Sales team to qualify, shape, and win complex opportunities — leading the technical discovery, designing solution architectures on our new product platform, and ensuring that every proposal is rooted in a deep understanding of the customer's business pain, not just their technical requirements. As IDnow transitions from product selling to solution selling, the Solution Engineer role is central to that shift. You will help customers understand not just what IDnow does, but why it matters for their business outcomes — whether that's improving verification conversion rates, reducing fraud losses, or enabling entirely new digital experiences like keyless vehicle access.   KEY RESPONSIBILITIES   Discovery & Qualification * Lead structured technical and business discovery calls alongside the Sales team, using a rigorous qualification methodology (MEDDPICC) to uncover pain, metrics, and decision dynamics * Ask the questions that matter: conversion rates, FAR/FRR trade-offs, fraud exposure, integration constraints, and business impact — before talking about the solution * Map customer pain points to measurable outcomes and document qualification findings for internal alignment Solution Design & Architecture * Design end-to-end solution architectures, selecting and orchestrating the right combination of our product platform capabilities (ID document verification, digital identity, fraud signals, biometric authentication, e-signature) for each use case. * Produce clear, defensible architecture proposals that link every technical choice back to the customer's business objectives and KPIs. * Act as a platform architect: anticipate integration complexity, design fallback logic, address data residency and compliance requirements, and propose scalable solutions. Technical Validation * Lead proof-of-concept and pilot engagements: configure API integrations, build Postman collections, manage sandbox environments, and guide customers through technical validation. * Comfortable working hands-on with REST APIs, SDKs, Git, and integration tooling — you can get your hands dirty when needed. * Translate customer feedback from pilots into actionable product and configuration recommendations. Commercial & Stakeholder Engagement * Build trusted advisor relationships with both business stakeholders (CDOs, Heads of Digital) and technical stakeholders (CTOs, IT Architects, Platform Engineers). * Handle complex objections — on pricing, integration effort, FAR/FRR trade-offs, or competitive positioning — with confidence and credibility. * Support RFP/RFI responses with precise, solution-oriented content. Enablement & Knowledge Sharing * Contribute to the continuous improvement of Solution Engineering tooling: demo environments, architecture templates, integration guides, and qualification frameworks. * Share market and competitive intelligence with Product and Sales teams. * Help onboard and mentor junior team members as the practice grows.     PREFERRED EXPERIENCE   Must-have: * 5+ years in a Solution Engineering, Pre-Sales, or Technical Sales role — ideally in SaaS, identity, FinTech, or security. * Proven ability to lead a discovery conversation with rigour: you ask before you propose, and you qualify before you demo. * Strong solution architecture skills: you can design an integration flow, explain orchestration logic, and defend trade-offs in front of a CTO. * Hands-on comfort with REST APIs, SDKs, and integration tooling (Postman, Git, etc.). * Ability to translate technical complexity into business value — fluently, for any audience. * Fluent English and full-professional German are both required. Additional European languages are a plus. Strong plus: * Familiarity with identity verification, KYC/AML, or digital identity concepts (DocIDV, eID, biometric authentication, fraud signals). * Experience in mobility, fintech, banking, or regulated industries. * Exposure to MEDDPICC or similar enterprise sales qualification frameworks. * Understanding of privacy and compliance frameworks (GDPR, AMLR, eIDAS). * Knowledge of web development concepts (frontend/backend, webhooks, OAuth).     PERKS & BENEFITS * Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions. * We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification. * We make your remote work comfy: we provide support on equipment and offer flexible working hours. * We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work. * May your family require your attention or other reasons apply: use the benefit of our paid special leave days. * Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities. * In addition to the perks & benefits above, we offer specific benefits that differ between our locations.     IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.