Solutions Architect, Conversational AI & Prompt Engineering
QventusSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess 5+ years of experience in a Solutions Engineering or similar customer-facing technical role, with a degree in Computer Science, Information Systems, or an equivalent background. Curiosity about AI and some experience with prompt engineering, along with familiarity with APIs and authentication methods, are also required. Strong written and verbal communication skills, tailored to different audiences, are essential, as is a collaborative and results-oriented mindset.
Responsibilities
The Senior Solutions Engineer will work closely with the sales team to gather customer requirements, own the technical side of the sales process, identify technology trends, and use visualization tools to illustrate AI Agent design and integration points. They will review and write API specifications, design and refine conversational AI agents through prompt optimization, lead hands-on trials with prospects, analyze conversational data to uncover insights, translate findings into narratives for stakeholders, and collaborate with sales, product, and engineering teams to ensure trial success and alignment. Additionally, they will attend customer meetings and provide technical support to the Account Executives.
Skills
Bilingual Spanish/English
Technical Sales
API
Integration
Customer Requirements Gathering
Visualization Tools
AI Agent Design
Dataflow
Replicant
AI-powered customer service solutions provider
About Replicant
Replicant provides AI-powered customer service solutions designed for businesses with high call volumes, such as restaurants and retail companies. Their platform operates in the cloud and integrates with existing systems like IVR, CCaaS, and CRM, allowing businesses to authenticate callers and resolve issues efficiently. Replicant's pay-as-you-go pricing model enables companies to adjust their customer service capacity based on demand, making it ideal for handling seasonal fluctuations. The platform is available 24/7, which helps eliminate wait times and enhances customer satisfaction. Replicant stands out from competitors by offering seamless integration with various systems and a flexible pricing structure, aiming to improve customer service operations and overall satisfaction for its clients.
Key Metrics
San Francisco, CaliforniaHeadquarters
2017Year Founded
$113MTotal Funding
SERIES_BCompany Stage
Consumer Software, Enterprise Software, AI & Machine LearningIndustries
51-200Employees