At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

SENIOR AI SOLUTIONS ARCHITECT

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.

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.

• 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.