Forward-Deployed AI Solution Architect

Role Overview

• 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

Requirements

• 5+ years of experience and proven track record in product management or solution architect roles
• Strong communicator with the ability to influence and collaborate across all levels
• Hands-on experience with agentic design and prompt engineering + architecture
• Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
• A go-to expert on emerging LLM technologies
• High customer empathy and passion for real-world impact and solving meaningful problems
• Self-starter, confident in troubleshooting complex systems issues independently
• Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users
• Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and iteration with users.
• Ability to travel as needed to client sites (expected 25-50%)

Tech Stack

• Java
• JavaScript
• Python
• TypeScript

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness and technology stipends
• Generous employee referral bonus
• Employee stock option awards