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Azure AI Solution Architect – Remote Contract Location: Remote (Has to be EU-based) Language: Fluent/native English required Start: ASAPDuration: Until end of 2025, extremely likely extension A growing Microsoft-focused consultancy is seeking an experienced Azure AI Solution Architect to lead the design and delivery of enterprise Azure and Generative AI projects. You will act as the technical lead across solution architecture, client engagement, and delivery. Working with services like Azure Cognitive Search, OpenAI, and DevOps pipelines. The role is fully remote and client-facing, within a fast-moving, technically mature team. What you’ll bring:8+ years in Microsoft ecosystems (.NET, Azure PaaS)Strong experience in AI/ML and GenAI solution architecture (Azure Cognitive Services, Azure OpenAI)Understanding of prompt engineering and patterns like RAGExcellent communication skills across tech and business stakeholdersNice to have:Azure certificationsExperience with LLMs (GPT, BERT, LLaMA)Portuguese or French language skills

Why this role matters Lead the design and deployment of enterprise-grade generative AI solutions on Azure. Your work will drive innovation and deliver measurable value across business functions. Responsibilities • Design scalable, secure generative AI architectures using Azure OpenAI Service, Azure ML, Cognitive Services, AKS, and vector databases. • Define and lead AI adoption strategies aligned with business objectives, focusing on text, image, and code generation use cases. • Evaluate, integrate, tune, and operationalise foundation models like GPT, DALL·E, and Codex. • Build automated AI pipelines and MLOps workflows with Azure ML, Data Factory, Synapse, DevOps, and LLM orchestration tools such as LangChain or Semantic Kernel. • Ensure compliance with responsible AI principles, data governance standards and regulatory requirements. • Partner with senior leadership to translate technical concepts into clear business recommendations. • Stay current with generative AI trends and emerging Azure tools; propose new use cases and solutions. Required experience and skills • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML or related field. • At least seven years of solution architecture experience, including a minimum of two years working hands-on with Azure AI and generative models. • Expertise in Azure OpenAI Service, Azure ML, Cognitive Search, AKS, and vector databases such as Cosmos DB, Pinecone or Weaviate. • Practical experience with LLM orchestration frameworks like LangChain or Semantic Kernel, and with prompt engineering and model fine‑tuning. • Programming proficiency in Python, C# or equivalent, and solid understanding of REST APIs, CI/CD pipelines and DevOps practices. • Preferred certifications: Microsoft Certified: Azure Solutions Architect Expert and/or Azure AI Engineer Associate. What's in it for you?• Competitive base salary with performance-based bonuses. • Flexible working arrangements to support work-life balance. • Opportunities to work on leading-edge generative AI projects with visible business impact. • Access to training, mentoring and support for achieving Azure certifications. • Collaborative, innovative team culture focused on real-world outcomes. What sets you apart Proven ability to deliver tangible results—share past projects where you architected or deployed generative AI solutions, including key metrics and business impact. Demonstrated use of Azure-native tools and best practices in MLOps and responsible AI.

We are looking for an experienced Engineer/Scientist to join a cutting-edge robotics team in Zurich, focused on humanoid manipulation through state-of-the-art AI. You will contribute to developing and deploying learning-based controllers to enable robots to interact intelligently, reliably, and flexibly with complex environments. This role is deeply hands-on with real robot hardware, leveraging your expertise across vision-language-action (VLA) models, diffusion models, reinforcement learning, and dexterous manipulation. What we’re looking for:PhD or Master's in Robotics, AI, or related fieldsStrong expertise in learning-based dexterous manipulation (multi-fingered grasping, task-oriented manipulation)Practical experience with running real-time controllers on robotic hardwareDeep knowledge of diffusion models, transformers, CVAEs, normalizing flowsExperience working with ROS, PyTorch, and PythonFamiliarity with vision-language models (VLA/VLMs/LLMs) for robotic planning or failure detectionBonus: experience with synthetic data generation, simulation environments, teleoperation systemsWhy this role?Join a high-calibre team (ex-ETH / ex-NVIDIA founders) backed by significant investment (Seed + Series A secured)Work at the intersection of simulation, reinforcement learning, and robotics hardwareContribute to next-generation humanoid robots without reliance on traditional imitation learning paradigmsIf you’re passionate about building more intelligent robots through cutting-edge AI and want to work in a fast-moving, well-resourced environment, we’d love to hear from you.

This role is for a Senior AI Engineer to join a small, high-impact AI team building production-ready tools used by financial professionals. You'll work on LLM-powered copilots, fraud detection systems, and real-time analytics products for portfolio managers, traders, and compliance teams. It's a remote-first role based in Switzerland, with occasional travel to Zurich. Fluency in German is essential, especially for account management and client collaboration. They're looking for someone who can take the lead on building out the Zurich engineering team, so leadership experience and an entrepreneurial mindset are important. You’ll be given real ownership from day one. 🎯 Key Requirements • 5–6+ years in software/AI engineering • 2+ years of hands-on experience working with LLMs • Excellent communication skills, fluent German • Team leadership experience or clear potential to lead • Proactive, self-motivated, and product-minded 🔧 What makes this interesting? • Build full-stack ML products end-to-end • Train and fine-tune LLMs and classical models • Ship clean, testable Python, TypeScript or Go • Collaborate with quants, PMs, and clients • Work in a small, high-trust team where ideas move fast If you're looking for impact, technical ownership, and the chance to help shape a growing AI product line, this could be the one.

We're hiring a senior-level engineer to architect the data platform behind a GenAI-powered market intelligence agent for a company in Zurich. You'll work directly with the CTO and help scale a real-time system used by thousands of businesses worldwide. The role includes:Designing a web-to-profile pipeline with distributed crawling and deduplicationBuilding LLM enrichment chains using RAG, LangChain, Semantic Kernel or LlamaIndexArchitecting a multimodal knowledge base across Postgres, pgvector, Cosmos DB Graph, and DuckDBIntegrating finance, trade, and product data from external sourcesLeading hands-on data ops across GitHub Actions, dbt, Airflow, and OpenLineageIdeal background:Experience with Python (typed, async), Spark or DaskStrong system design and data architecture experience at scaleDeep understanding of LLM pipelines and prompt/tool orchestrationFamiliarity with Microsoft Fabric, Azure Blob/Data Lake, or similar platformsif you'd be interested in this position, feel free to reply with your most updated resume/CV!