• Partnering with clients and client teams to define a solution and associated scope; championing that scope to internal teams for everyone to rally around, supporting solution questions from team members; gathering core requirements for new business; providing general RFP support (answer questions on tech/products, services); leading product demonstrations for clients and/or prospects • Create technical solutions, encompassing the complete system with documentation of all integration points (generally for a single client system), while demonstrating awareness of key business functions and corresponding technical strategy benefits, risks, and costs that impact the business • Actively negotiate business requirements with clients to manage scope of work and expectations of delivery timelines • Proactively communicate and clarify business requirements to all functional groups to ensure the solution meets the business objectives • Propose and lead the implementation or improvement of innovative and repeatable approaches, methods, processes, or technologies that can be adopted by your team and other departments • Serves as a SME/Mentor for other teammates

• 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.