NICE is looking for an exceptional Senior AI Solutions Architect to join our team. As a Senior AI Solutions Architect, you will help design features for our contact center solutions that use generative AI. You will work with a globally distributed team to explore and create solutions to industry problems using state-of-the-art large language models and other AI techniques. You bring to this team environment several years’ experience in software development, generative AI, and the curiosity and grit to see a project through to delivery.

Responsibilities

• Meet with internal stakeholders, including Product Management, to understand product requirements.
• Define design and architecture to support product features based on generative AI.
• Communicate design to Product Management, development teams, and other stakeholders.
• Compare design approaches based on factors such as cost, response quality, and latency.
• Collaborate with management to improve development processes, including testing standards.
• Help diagnose and resolve escalated production issues with AI-based features.
• Meet with globally remote implementation teams, sometimes outside US business hours.
• Review and suggest improvements to designs of AI-based features from other teams.
• Build and optimize application prototypes that leverage generative AI.
• Stay informed of the latest advancements in AI application development and tools.

Minimum Skills and Experience

• Minimum of 1 year of experience working with generative AI applications.
• Minimum of 3 years of experience working in production software development.
• Minimum of 3 years of experience working with AWS resources.
• Excellent proficiency in Python programming.
• Ability to develop and maintain good working relationships with cross-functional teams.
• Ability to clearly communicate and present to internal and external stakeholders.

Additional Desired Skills and Experience

• Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.
• Experience with data science or machine learning beyond generative AI.
• Experience working on international, globe-spanning teams.