Supervisor in RSM’s Advanced Analytics and AI Consulting practice focusing on data, machine learning, and AI solutions. Collaborating with teams to deliver advanced analytics projects for clients.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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