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Senior AI Agent Architect
Высокий балл обусловлен работой в быстрорастущем секторе Agentic AI, наличием крупных клиентов (Booking.com, SAP) и возможностью удаленной работы из Германии. Позиция предлагает значительное влияние на продукт и архитектуру.
Сложность вакансии
Роль требует редкого сочетания глубоких технических знаний в области LLM (prompt engineering, embeddings) и отличных навыков работы с клиентами. Процесс отбора включает этап 'Bar Raiser', что указывает на высокие стандарты компании.
Анализ зарплаты
Зарплата для Senior AI ролей в Германии в продуктовых компаниях уровня Parloa обычно начинается от 85,000€ и может достигать 110,000€+ в зависимости от опыта. Данная позиция соответствует верхнему сегменту рынка из-за требований к архитектурным навыкам и работе с клиентами.
Сопроводительное письмо
I am writing to express my strong interest in the Senior AI Agent Architect position at Parloa. With over five years of experience in AI development and a deep focus on Large Language Models, I have consistently delivered enterprise-grade conversational solutions that bridge the gap between complex business logic and intuitive user experiences. My background in prompt engineering, specifically using chain-of-thought and few-shot learning techniques, aligns perfectly with Parloa's mission to make customer conversations effortless.
In my previous roles, I have successfully led the implementation of AI workflows for global brands, ensuring high performance and brand alignment through meticulous fine-tuning and API integrations. I am particularly impressed by Parloa's scale, having powered over a billion interactions, and I am eager to bring my expertise in NLU and structured testing to your Implementation team. I am confident that my technical skills and customer-facing experience will contribute significantly to the continued success of your AI Agent Platform.
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Описание вакансии
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Senior 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 support 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. You will design, prototype, and validate conversational solutions for AI agent deployments and guide customers and partners in maximising the value of Parloa’s AI solutions.
Areas of ownership:
- 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
- Work closely with Agent Integration Engineers and Forward Deployed Engineers to connect customers’ systems with Parloa’s Agent Platform via APIs
- 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
Who you are:
- 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development
- Ability to analyse customer requirements and craft LLM prompts that align with desired conversational and functional outcomes
- Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
- Strong project and stakeholder management skills, with a passion for meeting milestones and communicating clearly
- Analytical and critical thinking skills, including experience with risk assessment and problem-solving
- Solid understanding of data structures, system integrations, and enterprise APIs
- Exceptional attention to detail and logical thinking, with the ability to identify and address subtle nuances in conversational flows
- Experience in planning and executing rigorous testing procedures to ensure AI agent performance at scale
Our Recruiting Process:
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
\ We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.*
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Навыки
- LLM
- Natural Language Understanding
- Prompt Engineering
- API Integration
- SSML
- Regex
- Project Management
- Stakeholder Management
- Data Structures
Возможные вопросы на собеседовании
Проверка практических навыков оптимизации ответов нейросети.
Расскажите о самом сложном случае в вашей практике, когда стандартный промпт не работал. Какие стратегии (например, chain-of-thought) вы применили для решения?
Оценка понимания технической архитектуры и интеграций.
Как вы подходите к проектированию интеграции AI-агента с внешними API клиента, чтобы минимизировать задержки и ошибки?
Важно для роли Architect, работающей с крупными брендами.
Как вы обеспечиваете соблюдение brand voice и этических ограничений при проектировании диалоговых сценариев?
Проверка навыков тестирования и обеспечения качества.
Какие метрики и методы тестирования вы используете для оценки надежности и точности AI-агента перед запуском в продакшн?
Оценка навыков управления ожиданиями заказчика.
Опишите ситуацию, когда требования клиента были технически невыполнимы для текущих LLM. Как вы аргументировали изменение скоупа проекта?
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