Azure AI Architect

Responsibilities:

• Lead the development of AI strategies and roadmaps, aligning technology solutions with business goals and objectives.
• Design and architect advanced AI solutions, integrating multiple AI technologies to meet complex project requirements and drive innovation.
• Provide technical leadership and guidance to engineering teams, ensuring best practices in AI solution development and deployment.
• Oversee the integration of AI solutions with existing systems and processes, ensuring seamless interoperability and data flow.
• Design and implement data architectures that support AI solutions, leveraging advanced database systems and ensuring data quality and security.
• Partner with Project Managers to manage AI projects from inception to completion, ensuring timely delivery and alignment with business objectives.
• Mentor and coach team members, fostering a culture of continuous learning and innovation within the organization.
• Collaborate with peers to architect and implement AI solutions that meet defined customer business objectives.
• Assist with the development or improvement of deployment solution architecture and standards.

Requirements

• Experience:
• At least 7 years of experience in a technical environment (Azure preferred), with a minimum of 3 years in AI solution development and architecture.
• Technical Skills:
• Expertise in AI technologies, including Azure AI Services and OpenAI models.
• Strong skills in Python or C# programming, with experience in designing and implementing Data and AI solutions.
• Advanced knowledge of data management concepts, including ETL processes, data warehousing, and data lakes.
• Experience with Microsoft Business Intelligence tools, including Power BI, SQL Server and Databricks.
• Communication: Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences, including non-technical stakeholders.
• Problem Solving: Exceptional analytical and problem-solving skills, with a track record of developing innovative AI solutions.

Additional Qualifications:

• Familiarity with Azure Data Estate, including SQL DB, Cosmos DB, and Data Lake.
• Experience with advanced AI development tools and frameworks, such as TensorFlow or PyTorch.
• Knowledge of Azure ML and Prompt Flow is a plus.
• Proven ability to manage multiple projects and deliver high-quality results on time.