• Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows • Responsible for the design, execution, and optimization of bespoke AI Operational Assistant use cases at the client • Technical Implementation • Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems. • Apply conversation modeling techniques like state machines, decision trees, and graph-based flows. • Use frameworks such as Dialogflow, Rasa, Amazon Lex, Langchain, or similar tools. • Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems. • Enhance bot functionality with custom scripts, API calls, and external system integrations. • Optimization, Testing & Maintenance • Continuously tune and improve intent recognition and response quality using real user data. • Monitor and resolve conversation breakdowns, mismatches, and fallback issues. • Develop and run unit, regression, and A/B tests to ensure conversational performance. • Implement real-time monitoring, analytics, and logging to drive performance insights. • Collaboration & Documentation • Shape client use cases in partnership with the AI Solution Consultant • Collaborate closely with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams to define and refine product requirements • Work closely with software engineers and data scientists to refine LLM integration and behavior. • Document conversation logic, prompt structures, and decision workflows for scalability and maintainability. • Mentor and support cross-functional teammates across forward-deployed client team

• Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs. • Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. • Collaborate with sales teams to present technical solutions to prospective clients. • Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress. • Architect data solutions, incorporating best practices in data governance, security, and quality. • Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Lead internal teams, provide direction and mentorship to project teams to deliver solutions.

• Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. • Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data for AI, ML, and business intelligence initiatives. • Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. • Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. • Architect data solutions, incorporating best practices in data governance, security, and quality. • Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Lead internal teams, provide direction and mentorship to project teams, educating end users on data products and analytic environments. • Perform system analysis, assess and resolve data and system defects, applying appropriate corrections. • Test data movement, transformation code, and data components to ensure accuracy and reliability.

• Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity. • Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. • Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. • Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. • Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality. • Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Cross-Functional Collaboration and Leadership : Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments. • Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections. • Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.