Agent Architect, Partner Success

About the role

You will serve as a key technical advisor to strategic partners and enterprise clients, providing guidance on designing and implementing advanced agentic AI solutions. Your role involves architecting scalable, reliable integrations and conversational experiences that enable global brands to handle complex customer interactions efficiently. You will work closely with partners to understand their technical needs, develop tailored solutions, and ensure seamless deployment of AI agents across various enterprise systems. This position requires a deep understanding of enterprise software, API integrations, and AI workflows, with a focus on delivering high-quality, scalable solutions that meet client expectations and business goals.

Key facts

What you'll do

• Design comprehensive end-to-end AI agent deployments within complex enterprise environments, ensuring solutions are scalable, secure, and aligned with client requirements.
• Develop and define integration strategies for various enterprise systems such as CRMs, ERPs, ticketing platforms, and contact center technologies, ensuring smooth data flow and interoperability.
• Address multi-system data flow challenges by analyzing dependencies, managing data pipelines, and troubleshooting integration issues to ensure reliable operation.
• Guide partners on best practices for API design, including authentication methods, data mapping, and error handling, to facilitate robust integrations.
• Configure and troubleshoot integrations using REST APIs, webhooks, and data formats like JSON and XML, ensuring seamless communication between systems.
• Lead technical discovery workshops and architecture review sessions with partners and clients to gather requirements, present solutions, and refine integration strategies.
• Translate complex business requirements into effective conversational flows and AI agent behaviors, ensuring the solutions meet user needs and business objectives.
• Apply prompt engineering, retrieval techniques, and context management strategies to optimize AI agent performance, accuracy, and user experience.
• Support voice configuration tasks, including SSML scripting, regex pattern creation, and lexicon management, to enhance voice-based interactions.
• Document technical standards, reusable architecture patterns, and best practices to support the partner ecosystem and facilitate future integrations.
• Collaborate with internal teams to ensure technical solutions align with product capabilities and strategic goals.
• Provide ongoing technical support and guidance during deployment phases, troubleshooting issues as they arise and optimizing system performance.
• Contribute to knowledge sharing by creating technical documentation, tutorials, and best practice guides for partners and internal teams.
• Stay updated on emerging AI and enterprise integration trends, recommending new tools or approaches to improve solution quality and efficiency.
• Support the development of technical proposals and presentations for prospective partners and clients.

Requirements

• 4+ years of experience in enterprise-facing technical roles such as solution architecture, systems integration, or complex SaaS implementation.
• Proven experience working with systems integrators, consulting firms, or partner-led delivery models, demonstrating the ability to collaborate effectively with external technical teams.
• Proficiency with REST APIs, JSON/XML data formats, and authentication methods such as OAuth, JWT, and API keys, with hands-on experience in configuring and testing integrations.
• Practical experience with API testing tools like Postman, including designing, executing, and troubleshooting API calls.
• Strong understanding of large language models (LLMs), prompt engineering, and enterprise AI workflows, with the ability to evaluate and optimize AI solutions.
• Ability to assess technical feasibility, security considerations, and scalability aspects of proposed integrations and solutions.
• Excellent stakeholder management skills, with experience leading discovery sessions, technical workshops, and client presentations.
• Familiarity with enterprise SaaS platforms, including CRMs, ERPs, ticketing systems, and contact center tools, with a focus on integration points.
• Strong problem-solving skills, with the ability to analyze complex technical issues and develop effective solutions.
• Effective communication skills, capable of translating technical concepts to non-technical stakeholders and documenting standards clearly.
• Ability to work independently and collaboratively within a fast-paced, dynamic environment.

Nice to have

• Experience enabling technical delivery partners or systems integrators, supporting their technical onboarding and ongoing collaboration.
• Familiarity with integration platforms such as MuleSoft, Boomi, Workato, or SAP Integration Suite, and experience leveraging these tools for enterprise integrations.
• Knowledge of embeddings, tool calling, or agent orchestration techniques to enhance AI agent capabilities.
• Exposure to programming languages such as TypeScript or Node.js, and familiarity with version control systems like Git.
• Experience with CI/CD pipelines, cloud infrastructure, or container orchestration platforms like Kubernetes.
• Knowledge of SSML (Speech Synthesis Markup Language), lexicons, and regex for voice and language processing.
• Background working with contact center or telephony technologies, understanding their integration points and workflows.

Skills & tools

• REST APIs, JSON, XML, Postman, OAuth, JWT, API Keys
• LLMs, prompt engineering, conversational design
• Systems architecture, enterprise integration, SaaS implementation
• CRM, ERP, ticketing, and contact center platforms

Practical notes

• Compensation includes base salary, performance-based variable, and equity components.
• Parloa is an E-Verify employer in the USA, committed to legal employment practices.
• Employees are required to adhere to data protection standards, including GDPR and ISO 27001, to ensure compliance and security.
• The hiring process involves Talent Acquisition, a Hiring Manager interview, a Technical/Expert interview, and a Bar Raiser assessment to ensure candidate fit and technical proficiency.