Senior Data Architect

Design and implement cloud architectures that support our data science and experimentation projects. Design and develop cloud-based solution for applied AI scenarios Independently use appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Provide thought leadership for technical architecture design, development, and deployment to support customer/partners data science scenarios. Identify technical blockers to accelerate architecture implementations and route non-technical issues for removal by the appropriate party. Share ideas, insight, and technical input using a working knowledge of Azure architectures and other relevant products. Participate in security peer reviews to identify and mitigate risks, including code reviews and threat modeling. Support team functions by resolving service issues, providing technical guidance and assistance to users, conducting investigations, and creating documentation. Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical. Help advance the research agenda for AI For Good initiatives. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

with Azure AI services, and/or TensorFlow and/or PyTorch.

Experienced agile practitioner with experience in Service Oriented Architectures (SOA) and/or REST. "Hands on" Experience creating Proof of Concepts, Minimum Viable Products (MVPs) for customers that lead to production deployments.