Senior Technical Architect

Role overview Lead the architecture and implementation of enterprise solutions on a customer relationship management platform, with a particular focus on AI agents and automation. This is a hands-on technical leadership role spanning platform design, integrations, development standards, and delivery guidance. You will help teams build secure, scalable solutions for customer service, sales, and business operations, from technical design through deployment and optimization.

Responsibilities - Design platform architectures, data models, integration patterns, and development standards for secure, high-performing solutions. - Guide development teams, review designs and code, and ensure implementations follow platform security practices and operating limits. - Configure and optimize AI agents, including their topics, instructions, actions, and workflows. - Ground agents in approved enterprise data and connect them to platform flows, custom code, APIs, and external systems. - Establish approaches for agent testing, monitoring, security, and governance, and identify processes suited to AI-driven automation. - Lead integrations and delivery practices, troubleshoot complex issues, and guide release and deployment processes.

Requirements - At least five years of hands-on platform development, implementation, and architecture experience. - At least one year of practical experience implementing the platform’s AI agent capabilities, including deployed solutions in business settings. - Strong skills in platform-specific coding, web components, workflows, query language, and APIs. - Experience with sales and service applications, security architecture, sharing models, data governance, and enterprise integration design. - Working knowledge of platform data cloud, prompt-building, and trust-layer capabilities. - Ability to document technical designs, communicate with stakeholders, lead technical discussions, and guide development teams.

Nice to have - Relevant application, system architecture, platform development, or AI agent certifications. - Experience with middleware, enterprise integration frameworks, and generative AI implementation.

Benefits and work setup The source describes benefits and resources intended to support employee well-being and work-life balance; specific details are not provided.