Responsibilities
- Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners.
- Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.
- Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively.
- Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.
- Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
- Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities.
- Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer.
- Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions.
- Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.
Requirements
- 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
- Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
- Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
- Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
- Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
- Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
- Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
- Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
- Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
- Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
- Familiarity with A/B testing methods to ensure AI agent performance at scale
- Excellent written and spoken English skills are required
Additional Information
- Excellent written and spoken English skills are required.