Azure AI Apps Architect

Key Responsibilities

• Leading clients in envisioning, designing, developing, and deploying AI solutions in Microsoft Azure.
• Leading multiple projects and multiple phases of the solution life cycle, including solution design and implementation of generative AI and traditional data science solutions.
• Serving as a leader on the small, dynamic team, supporting company leaders and sales teams in business development, shaping estimations, and sales estimates.

Skills, Knowledge and Expertise

• Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions.
• Experience with Microsoft Azure technologies such as Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Databricks, Azure SQL Database, and Azure Cognitive Services.
• Experience programming in languages such as Python, PySpark, or C#.
• A strong foundational understanding of the concepts behind machine learning algorithms and generative AI.
• Experience engaging in high-level conversations with clients to shape potential projects.
• Experience in pre-sales motions to support the sales and business development teams.
• Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements.
• Outstanding verbal and written communication skills.
• Excellent presentation and whiteboarding skills.
• Experience communicating highly technical concepts to non-technical audiences.

Preferred Skills

• A Bachelor’s degree in computer science or related field.
• Experience building automations with Azure Function Apps, Azure Data Factory, Power Automate, or Azure Logic Apps.
• AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications.
• Experience with GitHub or Azure DevOps.
• Prior consulting and business development experience.