Join Microsoft's Industry Solutions team as a Data & AI Consultant and drive digital transformation for our clients. Empower organizations worldwide with cutting-edge Microsoft Azure cloud technologies. This role focuses on envisioning and delivering impactful solutions, shaping the next generation of data and AI services for strategic customers. You'll contribute to a collaborative environment that fosters growth and shared learning.

As a consultant, you will leverage your expertise to build and implement advanced data and AI solutions on the Microsoft Azure platform. You will have the opportunity to work with leading-edge technologies and directly contribute to client success, ensuring they achieve optimal outcomes from their technology investments.

Adapt quickly to modern technologies and embrace continuous learning. Deliver exceptional results through teamwork while meeting individual billable targets. Maintain a strong client focus, demonstrating proactivity, collaboration, and a results-oriented approach. Mentor and support peers, actively sharing knowledge and contributing to a positive team dynamic. Drive adoption of best practices, lessons learned, and intellectual property within the global Microsoft community.

Cultivate strong relationships with senior clients and stakeholders, guiding solution success. Exhibit excellent time, project, and priority management skills. Communicate effectively through presentations and written correspondence, managing client and partner expectations proficiently.

A deep technical background is essential, with at least 10 years of technology experience, including 4+ years focused on delivering Data and AI solutions within Microsoft Azure. Expertise is required in designing and implementing modern data platforms (Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Azure SQL), building scalable data pipelines (Azure Data Factory, Event Hubs, Stream Analytics), and understanding Lakehouse/medallion architectures. Proficiency in SQL, Python, and PySpark is a must.

Experience in AI and Machine Learning is critical, including designing and deploying generative AI solutions using Azure OpenAI, agentic patterns, and RAG. Knowledge of Azure Machine Learning for MLOps and various Azure AI services (Search, Document Intelligence, Cognitive Services) is expected. Familiarity with data governance (Microsoft Purview), security best practices (Entra ID, Key Vault), Power BI, and cost management on Azure is also required.

Candidates should ideally possess or be able to obtain relevant Microsoft certifications within the first 12 months, such as DP-900, AI-900, DP-700, AI-102, and DP-600.