Key responsibilities
- Architect end-to-end AI & analytics solutions leveraging Microsoft Fabric, Synapse, Azure OpenAI, Power BI, and Data Lake technologies.
- Lead the design and deployment of AI/ML models, including predictive analytics, NLP, and generative AI use cases.
- Define data ingestion pipelines, semantic models, and data governance frameworks using Lakehouse architecture and Fabric tools.
- Drive client discovery workshops to translate business needs into solution blueprints.
- Guide implementation teams and ensure solutions are secure, scalable, and aligned with Microsoft Cloud best practices.
- Evaluate and implement MLOps, CI/CD pipelines, and model monitoring techniques.
- Contribute to technical presales and RFP responses by showcasing thought leadership.
- Mentor junior engineers and support internal knowledge building around Microsoft Fabric and Azure AI services.
What you bring
- 6+ years in AI, data, or analytics solution roles with proven leadership on enterprise projects.
- Strong architecture experience with Microsoft Azure Data Services: Azure Synapse, Data Factory, Azure ML, Azure OpenAI.
- Deep expertise in Microsoft Fabric, including Lakehouses, Data Pipelines, Notebooks, and Power BI integrations.
- Proficiency in SQL, Python, and DAX; familiarity with Spark and ML frameworks a plus.
- Solid understanding of data modeling, MLOps, data security, and compliance in enterprise environments.
- Experience working across Retail, Manufacturing, Distribution, or Energy industries is a bonus.
- Microsoft certifications (e.g., DP-500, AI-102, AZ-305) are highly desirable.
- Excellent communication and stakeholder engagement skills.
Applications open soon
The application form for this role is being prepared. Check back soon, or browse the roles that are open now.
