AI Architect

Education: Bachelor’s or Master’s degree or Ph.D in Computer Science or Information Technology.

Experience: Proven experience designing and implementing scalable AI solutions.

Responsibilities:

Be hands-on in architecting, coding, prototyping, and testing solutions, and willingness and the ability to roll-up the sleeve to get things over the line.

Accelerate new customer opportunities and projects from Proof of Concept (PoC) to Production.

Provide customers with expertise and through architecture designs, proof of concepts, hands-on implementation, and value-realization.

Lead and provide guidance to project teams including handholding, establishing best practices to be adopted in projects.

Provide perspective to key stakeholders to increase adoption through technical thought leadership, insights & feedback on a regular basis.

Curiosity to be up to date with the emerging trends in the AI space and emerge as a go-to-person.

Develop versatile AI models that can be adapted for multiple use cases.

Technical Skills:

Demonstrated expertise in Azure AI stack.

Proficiency in Python, Django, SQL, Vector Databases, Python AI libraries and AIOps.

Ensure the scalability, performance, and security of solutions.

Conduct code reviews and ensure adherence to best practices and coding standards.

Stay updated with the latest industry trends and technologies.

Troubleshoot and resolve technical issues as they arise.

Document technical designs and processes.