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.
Job Title: AI Solutions Architect

JOB DESCRIPTION

NICE is looking for an exceptional AI-focused Solutions Architect to join our team. As an AI Solutions Architect, you will play a vital role in enhancing our contact center solutions through the development of prompt engineering, AI application frameworks, and cloud infrastructure services. You will work in a collaborative team environment to explore and create solutions to industry problems using state-of-the-art large language models and generative AI. You bring to this team environment several years’ experience in software development, generative AI, and the curiosity and grit to see a project 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 including automated test.
• Familiarity with best practices in prompt engineering.
• 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 machine learning or data science.
• Experience working on international, globe-spanning teams.

• Help diagnose and resolve issues with production prompts.
• Work with customer-facing stakeholders to capture customers’ goals for generative AI applications.
• Communicate research findings, technical concepts, and model recommendations effectively to technical and non-technical stakeholders.
• Build and optimize application prototypes that leverage generative AI.
• Stay informed of the latest advancements in AI application development and tools.