Ai Solutions Architect jobs at Nice in United States, Sandy

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.

• 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 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.

• 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.

When customers require novel, custom prompts, the Prompt Engineer works closely with Professional Services and Product Management to capture requirements, design robust solutions, develop and execute test plans, and present results to stakeholders.

• Diagnose and resolve issues with production prompts.

• Refine prompts to generative AI systems to achieve customer goals.

• Collect and present quantitative analysis on solution success.

• Collaborate with developers to implement new production monitoring tools and metrics.

• Work with architects and Product Managers to implement prompts for new features.

• Consult with Machine Learning Engineers for complex prompt challenges.

• Stay informed on advances in prompt engineering.

• BS in a technology-related field such as computer science, business intelligence/analytics, or finance.

• Three years of experience in a technology-related industry or position.

• Familiarity with best practices in prompt engineering, including differences between major LLM vendors.

• Strong collaboration skills with cross-functional teams.

• Excellent communication and presentation abilities for internal and external stakeholders.

• Experience with Python and at least one web app framework for prototyping (e.g., Streamlit or Flask).

• Basic AWS resource management, including microservice deployment.

• Experience with Docker containerization.

• Experience with both standard and AI-based testing frameworks (e.g., PyTest, DeepEval).

• Exposure to generative AI application frameworks such as LangChain, LlamaIndex, and griptape.

• 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.

• 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.

• Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.
• Experience working on international, globe-spanning teams.

Responsibilities

* 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.

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.

Responsibilities

* 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.

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.