AI Transformation Engineer leading the adoption of Microsoft AI solutions at Luware. Collaborating with internal teams to enhance productivity and decision-making using AI technology.
Responsibilities
Collaborate with departments to identify, document, and technically implement high-impact AI use cases across the our organization
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
Lead internal communication and support 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
Requirements
Proven experience in digital transformation, or AI technology adoption/ integration roles - with focus best practice over all departments
Deep expertise of the Microsoft 365 ecosystem, Microsoft AI stack including Microsoft Azure AI & Cognitive Services
Experience with Azure OpenAI Service and GPT/LLM integration, including conversational AI solutions
Experience designing, implementing, and optimizing use cases with Microsoft Copilot and Copilot Studio for custom pilots and workflow orchestration
Knowledge of Power Platform (Power BI, Power Apps, Power Automate) for citizen AI and automation
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
Nice to have 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
Benefits
The opportunity to work closely with C-level leadership in a high-impact role
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
Genuinely collegial, international environment and a fresh, dynamic, open corporate culture
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