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Senior Agent Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

đź’µ $156k - $178k / year

⏰ Full Time

đźź  Senior

🏛️ Architect

đź‘» Ghost score 0%

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Logo of Parloa

Parloa

201 - 500 employees

🤖 Artificial Intelligence

🏢 Enterprise

đź’° Series B on 2024-04

Artificial Intelligence • Enterprise

Parloa is a leading global AI company with a vision to make every customer interaction as easy as talking to a friend. We amplify the customer service experience with our AI Agent Management Platform. This enterprise-grade platform automates contact centers by leveraging the full power of generative AI safely & reliably in the context of consumer interactions. It combines highly-skilled personal AI agents that engage in natural and unique conversations with every customer, with AI assistance for human agents when they get on the line. Global brands trust Parloa to connect with their customers, ensuring they feel heard through exceptional experiences that increase satisfaction, encourage sales, and build loyalty.

đź“‹ Description

• Design end-to-end solution architectures for AI Agent deployments integrating Parloa's platform with enterprise systems • Build and configure integrations using integration platforms and APIs • Solve complex, multi-system data flows • Collaborate with Forward Deployed Engineers on custom integration scenarios • Test architecture, integration reliability, and AI agent performance • Resolve blockers with Product, Solution Engineering, Sales, and customers • Scope AI Agent deployments and provide architecture advice and execution support • Analyze customer requirements and design prompts using knowledge of LLM internals • Translate customer workflows into structured conversational components • Fine-tune conversational flows and voice output using SSML, Lexicons, and Regex • Document best practices, how-to guides, and product capabilities for internal and external audiences

🎯 Requirements

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration • Strong systems thinking and experience solving complex technical problems across multiple systems and data sources • Experience with complex SaaS implementations at scale, including CRMs, ERPs, contact center platforms, and ticketing systems • Proficiency in REST API design, JSON/XML data structures, API testing tools such as Postman, and API authentication patterns including OAuth, API keys, and JWT • Experience reading and consuming API documentation across enterprise SaaS platforms, including data transformation and field mapping logic • Analytical and critical thinking, including risk assessment and problem-solving • Project and stakeholder management skills • Ability to analyze customer requirements and translate them into LLM prompts and conversational flows, including A/B testing to assess agent performance • Prior conversation design, prompt engineering, or A/B testing experience is a plus, not a requirement

🏖️ Benefits

• Performance-based variable component as part of OTE • Equity package • Equal opportunity employment

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