Lead end-to-end AI engagements for enterprise clients — from strategy framing to production deployment — within a boutique that values precision, autonomy, and measurable impact.About the roleAs a Senior AI Consultant at ProActys, you serve as the primary trusted advisor for C-level stakeholders navigating their AI transformation. You combine deep technical fluency with business acumen to design AI strategies that deliver tangible, measurable value — not just prototypes that never leave the lab.You work across sectors (financial services, pharma, manufacturing, public sector) and across the full engagement lifecycle: opportunity assessment, use-case prioritisation, solution architecture, vendor evaluation, implementation oversight, and post-launch performance tracking.Key responsibilitiesLead AI strategy workshops and maturity assessments for enterprise clients, translating complex technical possibilities into actionable business roadmapsDesign and oversee end-to-end AI project delivery — from data readiness audits to model deployment and change managementConduct use-case discovery sessions, build business cases with ROI modelling, and present recommendations to executive committeesArchitect AI solutions leveraging LLMs, computer vision, NLP, and predictive analytics, selecting the right tool for each business problemManage relationships with technology partners (cloud providers, AI platform vendors) and coordinate multi-stakeholder project teamsMentor junior specialists and contribute to ProActys thought leadership through Insights articles, conference talks, and internal knowledge-sharingEnsure all AI implementations comply with the EU AI Act, Swiss data protection regulations, and ethical AI principlesYour profileMaster's degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field5+ years of experience in AI/ML consulting, data science, or AI product development — at least 2 years in a client-facing advisory roleProven track record of delivering AI projects from strategy through to production in enterprise settingsStrong understanding of ML/DL frameworks (PyTorch, TensorFlow), cloud platforms (Azure, AWS, GCP), and MLOps best practicesExcellent communication skills — able to translate technical concepts for non-technical executives and board membersFluent in English; German and/or French is a strong plusSwiss work permit or EU/EFTA citizenshipNice to haveExperience with LLM-based applications (RAG architectures, fine-tuning, prompt engineering at scale)Knowledge of AI governance frameworks (ISO 42001, NIST AI RMF) and the EU AI Act classification systemFamiliarity with regulated industries (banking, insurance, pharma) and their specific compliance requirementsCertifications such as AWS ML Specialty, Azure AI Engineer, or Google Cloud Professional ML EngineerWhat we offerFlexible work model — remote-first with optional co-working days in the Greater Zurich AreaReal impact — work directly with decision-makers on projects that change how organisations operateContinuous learning — annual training budget, conference attendance, and internal AI lab timeSmall team, big autonomy — no bureaucracy, flat hierarchy, direct line to leadershipSwiss quality, international reach — clients across Switzerland and EuropeCompetitive compensation — attractive salary and 25 vacation daysInterested?Send us your CV and a short note explaining what drives you. We'll get back to you within five business days.
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