Collaborating with other functional groups within the client where necessary to support milestone achievement and to manage study issues and obstacles. Consulting with pharmacogenetics experts on preclinical and medical aspects as well as side effects (including SAEs and SUSARs). Anticipating project risk and implementing mitigation strategies.
Cloud Workload Protection Platforms, Cloud Security Access Brokers, etc) and deployment • Design and implementation of a secure hybrid IT environment that integrates different cloud services with our data center hosted services in a global environment • Collaborate with developers, owning the "Sec" part in "DevSecOps" to ensure that cloud-native workloads are deployed securely • Perform regular/continuous security posture evaluations and own the continuous security improvement program for existing deployments - Communicate regularly to our stakeholders about risk position and mitigation • Be point of contact for business and IT stakeholders by means of close collaboration to ensure secure design and transition into new target state • Support and train members of the security team on new cloud technologies • Be subject matter expert for multi cloud environment WHAT YOU SHOULD HAVE: • You are a cloud subject matter expert with more than 5 years of experience in engineering and / or securing cloud technologies and deployments (IaaS, PaaS, SaaS), preferably Google Cloud, Amazon or Microsoft Azure • Cloud Security Posture Management and Cloud Workload Protection Platforms are familiar to you
WHAT YOU WILL DO Interactions primarily involve presenting to or influencing business representatives or vendorsInteract primarily in issues related to specific phases of work or technical issuesParticipate in project meetingsSpecify logical and physical test cases, starting scenarios and test scriptsSet up and maintain test environmentsExecute manual and automated test cases (dynamic testing)Check and assess test resultsManage defectsProvide expert advice, training and technical assistanceContribute to employees’ professional development WHAT YOU SHOULD HAVE: If you are highly motivated, creative and desire to start and develop your IT career in a fast-paced environment, you have come to the right place!
You are expected to deliver technical and architecture design and formulate standards related IT monitoring landscape (Infrastructure, Application and Business Process). You will act as the SME (Subject Matter Expert) and 3rd level support and also provide technical consultancy to support the design and implementation planning of new infrastructure technologies.
Your Mission As part of our AI platform team, you will: Work closely with AI Solution Architects, AI Engineers, and cross-functional technical teams to design, develop, and implement AI solutions across our products and services.Build and maintain a scalable, secure, and efficient infrastructure for our AI platform while continuously expanding your expertise in cloud services.Translate business requirements into functional AI solutions — guided by experienced colleagues in an agile development environment.Develop and maintain integrations between our AI platform (e.g., Conversational AI) and internal systems to support diverse business needs.Create demos and proof-of-concepts that showcase AI capabilities and promote AI adoption within the company.Act as a technical expert for our agentic AI platform, supporting other teams in leveraging AI and building their own solutions. What makes you stand out Degree in Computer Science or a related field.4+ years of experience in agile software development with solid understanding of the full engineering lifecycle.Hands-on experience with: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers and Agentic AI systemsDesigning, building, and deploying advanced AI solutionsExperience with AI cloud platforms (e.g., Azure AI Foundry) and/or conversational AI platforms (e.g., Cognigy).DevOps experience, ideally within Microsoft Azure (ADO).Programming experience in at least one high-level language such as Python, Java, or TypeScript.Experience developing microservices using frameworks like Flask, Django, or Spring (Java).
Expert Internal Audit IT (gn) fulltime/ parttime (hybrid) Your job at DKV Mobility? As part of a leading European B2B platform for on-the-road payment solutions, you will work in an exciting environment.
As part of our team, you will take on the following responsibilities: You work closely with AI solution architects, AI engineers, and other technical teams, supporting the development and implementation of AI solutions within DKV Mobility’s products and services.You help build and maintain a scalable and efficient infrastructure for DKV Mobility’s AI platform, continuously developing your skills and knowledge in cloud services.You support the transformation of business requirements into functional AI solutions — guided by experienced team members and working in an agile environment.You contribute to the development and maintenance of integrations between our AI platform (e.g., Conversational AI) and other internal systems to best support various business needs.You help create demos that illustrate the capabilities of AI and foster a deeper understanding of AI technologies within the company.You act as a technical expert for our agentic AI platform (e.g., Conversational AI) and support other teams in leveraging the platform and building their own solutions.
Senior Technical Expert Payment Solutions (gn) Vollzeit/Teilzeit (hybrid) Your job at DKV Mobility? As part of a leading European B2B platform for on-the-road payment solutions, you will work in an exciting environment.
Das Team Data Science & Advanced Analytics – mit Standorten in Frankfurt, Philadelphia, Mailand, Madrid, Athen, Warschau und Peking sowie einem Netzwerk von mehr als 300 Experten weltweit – ist das globale Kompetenzzentrum für Statistik und Data Science bei IQVIA. Das Team ist verantwortlich für die Entwicklung statistischer Verfahren und Methoden, die in Qualitätssicherungsprozessen, Datenimputationen, Datenprojektionen, Forecasting und vielen weiteren Bereichen für Healthcare‑Paneldaten eingesetzt werden, darunter Apothekenumsätze, E‑Commerce‑Daten, Krankenhausverbrauch, verschreibende Ärzte sowie longitudinale anonymisierte Patientendaten.