דרושים Ai Data Consultant ב-Nice ב-ארהב

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.

About the Role

Join NiCE Public Safety as an AI Solutions Intern for our Fall Internship Program where you'll work with real 911 audio, AI models, and public safety data, creating tools that power the next generation of emergency response. You won’t be on the front lines. You’ll be behind them – writing the logic, testing the models, and building the dashboards that support real heroes across the U.S.

In this internship, you will gain hands-on experience with AI, cloud, and analytics, real-world skills in software used by 911 professionals nationwide, the chance to test and improve tools that support real emergency teams and side-by-side work with senior engineers.

How you will make an impact?

• Training and testing AI scoring tools for emergency calls
• Analyzing patterns from 911 data and build tools for dispatchers
• Working with APIs, microservices, and real-world cloud apps
• Working on automation

Have you got what it takes?

• Experience with Python, JavaScript, or another scripting language
• Experience with Whisper, OpenAI APIs, LangChain or anything AI/ML
• Experience with AWS, GCP, Azure or cloud tools
• Experience APIs, webhooks, or building scrappy internal tools

You will have an advantage if you also have:

• Experience/knowledge of CCaaS, CX, and Conversational Ai solutions.
• Experience/knowledge in the public safety sector.

Senior Product Manager
Intern

· Designs change strategy across people, process & technology

· Serve as consulting program leader, creating and owning the roadmap and business case for a multi-product projects

· Build long-term relationships with customers, becoming a trusted advisor

· Organize and guide application and domain business consultants through program leadership

· Take ownership of ensuring customers achieve measurable value

· Identify opportunities for additional engagements through service subscription renewals and business development

Key Responsibilities:

· Responsible for the successful delivery of business improvement projects resulting in highly satisfied, reference-able clients and measurable business improvement

· Discover, identify and create business cases for value of the product portfolio

· Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilization of NiCE solutions across the enterprise

· Lead complete, comprehensive organizational change management with customer during engagements including securing buy-in from different stakeholders (Internal and External)

· Own and manage senior stakeholder relationship and ensure his/her active participation and sponsorship over the course of the engagement

· Manage consulting program with continuous alignment with entire product implementation program

· Establish and monitor progress toward business success criteria for each product and BU

· Map business case into action items and solution design

· Align launch strategy with use case and value priorities

· Provide input into technical project plan, overlaying VRS activities

· Single point of communication for business case activity and value realization

· Hold all parties (customer included) accountable to agreed plan and pushes execution of action items

· Provide expert guidance and deliver strong advisory best practice Project Management and consulting

· Develop repeat business opportunities via successful delivery, credibility and thought leadership

· Independently perform financial analysis, benefits and impact analysis and create ROI models

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.

The ideal candidate may have a previous background as a DBA, a developer, or a data scientist. Very good communication skills are essential, as is experience working with complex datasets. You will be someone who's happy to get into the detail of the problem rather than just “manage”, and be prepared to acquire a deep understanding of our data, how it is structured, where the value is, and the operational demands upon it. As an engineer, you need to know what good looks like and be able to measure our progress towards technical excellence, and to do that they must live, eat and breathe NiCE data.

How will you make an impact?

• Contribute significantly to our strategy and architecture with databases and reporting data, shaping the future of our data landscape.
• Help evolve our standards and best practices with data across the business, incorporating modern AI-driven approaches to data governance and security.
• Analyze our data and advise where we can realize maximum value from it, using advanced analytical and AI tools to uncover critical insights and drive business decisions.
• Monitor our database performance and implement AI-powered solutions for proactive anomaly detection and optimization, ensuring robust and efficient data operations.
• Propose, plan, and execute innovative strategies to allow us to scale the way we process and store our data, with a focus on building resilient, high-performance architectures that push technological boundaries.
• Work closely with various multidisciplinary teams with touchpoints in this field, fostering collaborative thinking and knowledge sharing across the organization.
• Continue to develop and apply hands-on skills related to management of our data, and related topics, including the adoption of new AI/ML technologies for data management and continuous personal and professional growth.

Required:

• Experience working with relational and non-relational databases, key-value and document stores at scale (e.g., MySQL, PostgreSQL, ).
• Experience working with data warehouse, data lakes, and the associated ETL and reporting tools (e.g., AWS Redshift, Matillion, , Tableau, Looker).
• Expertise and understanding of architectures needed to build business-centric reports from complex data.
• Demonstrable data and reporting problem-solving, and data modeling ability.
• Good knowledge around GDPR compliance, international data governance and security, including how AI tools can assist in these areas.
• 2+ years of relevant industry experience.
• Ability to develop and maintain good working relationships with cross-functional teams.
• Ability to clearly communicate and present to internal and external stakeholders.

NiCE to have, but not essential:

• Experience architecting database solutions in AWS with AWS Step Functions.
• Database and ETL automation experience.
• Experience with column-based and graph-based databases like Cassandra and Neo4J.
• Performance, optimization, troubleshooting and tuning skills with relational and non-relational databases.
• Agile framework experience.
• Awareness of basic data science and generative AI methods.
• Exposure to generative AI application frameworks for data insights.
• Basic AWS resource management, including microservice deployment.
• Containerization and orchestration with Docker, Helm and Kubernetes.
• Infrastructure as Code with Terraform.
• FedRAMP compliance experience.

• 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.