Lead Agent Architect (f/m/d)

ParloaNew Munich, MN
3dHybrid

About The Position

As a Lead AI Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will manage the implementation of Parloa's solutions, enhancing customer experiences for clients and partners. Using your expertise in Large Language Models (LLMs), Natural Language Understanding (NLU), and conversational design, you will craft effective AI workflows, ensuring quality, performance, and seamless operation. Additionally, you will design, prototype, and validate scalable architectures for AI agent deployment. You will also guide clients and partners in maximizing the value of Parloa’s AI solutions, ensuring agents seamlessly leverage integrated systems to handle customer interactions effectively.

Requirements

  • 4+ 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
  • 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

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 components, enabling the LLM to understand and handle challenging tasks effectively.
  • Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.
  • Work with Forward Deployed Engineers to connect customers’ systems with Parloa’s Agent Platform via APIs, ensuring seamless integration with external tools (e.g., CRMs, ticketing) for end-to-end enterprise solutions.
  • Document best practices, how-tos, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Benefits

  • Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture.
  • Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI.
  • Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches
  • Competitive compensation and equity package.
  • Flexible working hours, 28 vacation days and workation opportunities.
  • Access to a training and development budget for continuous professional growth.
  • Regular team events, game nights, and other social activities.
  • Work from home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.
  • Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

251-500 employees

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