AI Transformation Engineer (f/m/d) 100%- Zürich West
Listed on 2026-08-22
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Founded in 2010, Luware is a leading SaaS provider specializing in innovative contact center and conversation recording solutions. Our Microsoft-certified solutions are designed to streamline customer interactions. We're committed to innovation and growth, fostering a culture that embraces agile methodologies and flexible work arrangements.
We’re growing fast – and we’re hiring!We're expanding our AI Transformation Team and are looking for an experienced, proactive candidate to join as soon as possible and support our group-wide AI transformation initiative helping us stay at the forefront of AI-driven productivity.
This role, based at our Headquarters in Zurich-West (hybrid work is a given), is critical in helping all global internal teams unlock their efficiency potential, enhance decision-making, and embed AI into daily workflows.
You will focus on identifying impactful use cases, embedding AI into how we work, training internal teams, and helping us become a Customer Zero reference for Microsoft.
What you’ll be doing- Collaborate with departments to identify, document, and technically implement high-impact AI use cases across our organization
- Turn prioritized use cases from the AI transformation roadmap into working prototypes and production-ready solutions
- Design and deliver onboarding, workshops, and hands-on training sessions tailored to various teams and roles
- Track usage metrics, adoption rates, and report on AI usage impact across the organization
- Support internal communication and efforts to guide teams through the cultural and operational shift toward AI adoption
- Ensure responsible use of AI aligned with company policies, data security, and compliance standards
- Background in Business Information Systems (Wirtschaftsinformatik) combined with in-depth technical understanding would be a great advantage
- Proven experience in digital transformation, or AI technology adoption/ integration roles, with focus on best practices over all departments- mandatory
- Deep expertise of the Microsoft 365 ecosystem, Microsoft AI stack including Microsoft Azure AI & Cognitive Services
- Experience with Azure OpenAI Service, LLM integration, agent frameworks, and MCP integrations
- Hands-on experience building and deploying solutions with Microsoft Copilot Studio and the Power Platform (Power Automate, Power Apps, Power BI)
- Familiarity with AI governance, data privacy, ethical AI use, and responsible AI principles
- Excellent communication and stakeholder management skills
- Ability to translate technical AI capabilities into business value
- Comfortable working across technical and non-technical teams
- AI & ML
Skills:
Experience with full model lifecycle, including feature engineering, data preprocessing, evaluation, AutoML/low-code AI, A/B testing, experimentation, benchmarking, and work with generative AI/LLMs - Prompt Engineering & Fine-Tuning:: Advanced prompt design, optimization, context management, template-based prompting, integrating external knowledge, dataset preparation, Azure OpenAI fine-tuning workflows, hyperparameter tuning, and version control for prompts and experiments
- RAG (Retrieval-Augmented Generation):
Experience with RAG architectures, vector databases, semantic search, custom model deployment, API management, and responsible AI/bias mitigation
- A fast-paced, international, and collaborative work environment
- A challenging and diverse role with high autonomy
- A motivating and supportive team culture where your ideas matter
- Excellent opportunities for personal and professional growth
- Regular team events and the chance to work from another Luware office for up to a month through our exchange program
You can expect a genuinely collegial, international environment and a fresh, dynamic, open corporate culture - let the Luware spirit convince you!
Do you feel addressed and are you ready to finally unleash your full potential?
We are very looking forward to getting to know you!
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