AI Engineering Consultant (Zurich, Switzerland)

pD ONE is a premium consultancy specialized in data, AI, and transformation. We help organizations turn ambition into impact by aligning strategy, building strong data foundations, delivering high-impact solutions at scale, and ensuring adoption and trust through governance and a focus on people. /p pFrom Zurich, Munich, and Athens, we support clients across Europe with deep expertise across the entire data value chain. Our approach is pragmatic, people-centric, and built for lasting value. /p pIn this role, you will advise our clients on the design and implementation of production-grade AI solutions, from generative AI applications and agentic systems to machine learning use cases embedded in business processes. You will translate business problems into robust AI architectures, build and evaluate solutions hands-on, and take them beyond the prototype into reliable, governed production systems on platforms such as Databricks or Azure. Based in our Zurich office, you will work with your team to provide our clients with the high quality and reliability we are known for. /p pYour tasks will include: /p ul liAnalysis of business and technical requirements, and identification of AI use cases with clear business value /li liDesign and implementation of AI solutions such as RAG systems, AI agents, and LLM-powered applications, in close collaboration with client and project teams /li liSetting up evaluation, monitoring, and guardrails so that AI solutions are measurable, reliable, and safe to operate /li liIntegration of AI solutions into existing data platforms, applications, and business processes /li liContribution to data AI initiatives across cloud architecture, data engineering, data science, and AI governance /li liCommunication of recommendations, insights, and results to senior stakeholders and management /li /ul pWhat you bring: /p ul liAt least a Bachelor's degree in Computer Science or a related field; an MSc or PhD is strongly preferred /li liDomain knowledge in at least one industry /li liA highly analytical and structured mindset, with strong problem-solving skills and the ability to communicate complex topics clearly and convincingly to both technical and non-technical stakeholders /li liExcellent verbal and written communication skills in English (mandatory); German is strongly preferred /li li3+ years of proven experience in software engineering, ML engineering, or data science, including at least one AI or ML solution taken into production /li liHands‑on experience building LLM‑based applications (e.g. RAG, agents, tool use, prompt and context engineering) and evaluating them systematically /li liStrong Python and software engineering fundamentals (APIs, testing, CI/CD, version control), plus solid SQL /li liExperience with Databricks (Mosaic AI, MLflow, AI Vector Search) and/or Azure AI services (Azure AI Foundry, Azure OpenAI), or comparable platforms such as AWS Bedrock or Google Vertex AI /li liHands‑on experience with orchestration libraries such as LangChain or LlamaIndex, and with vector stores such as pgvector, Qdrant, Chroma or FAISS. /li liFamiliarity with MLOps/LLMOps practices and responsible AI principles. /li liAn eye for performance and cost: latency, throughput, token economics and caching. /li /ul pWhat we offer: /p ul liAn uncomplicated and low noise environment that enables you to focus on what matters most. /li liAn international team of talented people from diverse backgrounds that have ambitions, always enjoy an additional challenge, and know how to have fun at work. /li liFurther development opportunities through our D ONE Academy including mentoring program, knowledge sharing sessions, expert and working groups, as well as tailor‑made soft‑skill and leadership training. /li liFrequent offsite socialising events. /li /ul pTo be successful in this role you will need to: /p ul liStrive to understand your clients' needs. /li liDeliver outstanding results with high business value in a comprehensible form. /li liHave the intellectual agility required to get the job done in an easy‑to‑do‑business‑with way. /li liValue clever and creative team play. /li /ul pAre you interested in joining a great team with a proven track record and to work on projects that will constantly challenge you? /p #J-18808-Ljbffr