Senior AI Engineer Germany

uncompromising on ethics, trust, privacy, security and regulatory compliance. About InfosysInfosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation.With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and

Job DescriptionRole - Senior AI EngineerTechnology - AI/ ML/Gen AI, Data Science, Poly Cloud - Azure, AWS, GCP Location - Germany - Frankfurt/Hamburg/Dusseldorf/Stuttgart/Munich/ErlangenBusiness Unit - TOPAZDLVRYCompensation - Competitive (including bonus)Job Summary:We are seeking an accomplished Generative AI Consultant to drive the design and implementation of innovative AI solutions for our clients. The Generative AI Consultant will play a critical role in understanding client needs, designing tailored solutions, and ensuring the successful delivery of projects that meet defined metrics. This role requires strong technical expertise across Generative and Agentic AI-including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)-coupled with excellent communication skills to engage with clients and internal teams effectively.Your roleIn the role of Senior Consultant within Topaz Unit, you will be one of the pillars shaping the Gen AI/ Agentic AI ecosystems for our esteemed clientele in Europe. You will play a vital role in researching AI trends, designing and defining AI models and frameworks, carving out solutions specific to client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will be pivotal to problem definition and discovery of the overall solution and guide teams on project processes, deliverables. You will anchor business pursuit initiatives, client training, in-house capability building. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.RequiredExperience of solutioning in Gen AI, Agentic AI, classic ML and automation spaceExperience and good understanding of GenAI prompt engineering, RAG pipelines, Supervised/ unsupervised ML and AI observabilityExperience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS).Experience in designing and scaling GenAI chatbots.Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 HyperscalerGood understanding of Responsible AI principlesAbility to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutionsStrong articulation, stakeholder management and consulting skillsExperience driving productivity and cost optimisationsSkills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI / Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).PreferredDelivered AI projects within Agile frameworksExperience on Gen AI Feedback Analysis, topic modelling, sentiment analysisKnowledge of AgentOps and OpenTelemetryUnderstanding of Network Security Concepts, Network Telemetry and AnalyticsUnderstanding of Cloud computing and VirtualizationExposure to APM/Observability tools (Dynatrace, AppDynamics, Datadog, Splunk etc.)Exposure to onshore-offshore model working with professionals spread across the globePersonalBesides the professional qualifications, we respect and place equal importance to the candidate’s personality which facilitates success in customer environments. Few traits we look for are:High analytical skillsA high degree of initiative, flexibility and adaptabilityHigh customer orientationGood team engaging skillsQuality awarenessGood verbal and written communication skillsTransparency and IntegrityAbout Topaz CoETopaz Centre of Excellence

is the Central AI and automation evangelisation unit at Infosys. Our vision is to enable Infosys towards delivering exponential value to customers through AI driven differentiation across all horizontal and vertical services, leveraging our internal as well as our partner capabilities. We enable Infosys towards an AI First Organization and to establish Infosys as a Market Leader in AI and Gen AI space. We help clients define roadmaps and realize productivity gains and business benefits through Automation, AI and Gen AI. Our AI-first set of services, solutions and platforms using generative AI technologies help amplify the potential of humans, enterprises and communities to create value from unprecedented innovations, pervasive efficiencies and connected ecosystems. We bring the advantage of 12,000+ AI assets, 150+ pre-trained AI models, 10+ AI platforms steered by AI-first specialists and data strategists, and a ‘responsible by design’ approach that is