Hiring: Staff Software Engineer, AI Systems Company: Dolby Laboratories Location: Atlanta, GA Job Posted Time: 2026-09-11 17:58:49 Employment Type: Full-time Target Skills & Keywords: AI Systems Architecture, Data & Integration Layer, MCP Servers, API Integrations, Credential Management, AI Agents, Agentic Workflows, Event-Driven Automation, SaaS Platform, CRM/Billing/Support Integrations, Observability, Security, Scalable Infrastructure Experience: - Staff-level engineering experience owning technical architecture for shared AI infrastructure - Proven track record defining patterns, standards, and integration approaches adopted across teams - Experience serving as technical authority for architectural decisions - Hands-on experience building and integrating AI agents and applications across business functions - Experience collaborating with Product Engineering on shared infrastructure and systems integration - Experience working directly with business stakeholders to shape requirements and acceptance criteria, then owning delivery end to end Required Skills: - Architecting and implementing foundational data and integration layers for AI agents and applications - Building and maintaining integrations across business systems (CRM, billing, support, product usage) - Configuring and managing MCP servers and API connections to internal systems with proper credential management and security controls - Standing up shared hosting infrastructure for agents, automations, and applications in production environments - Building scheduled automations and event-driven workflows that run reliably without manual intervention - Developing customer-facing and internal applications (web applications, headless services, agentic flows, or combinations) - Building AI-powered workflows such as customer health monitoring, automated alerts, meeting intelligence, and revenue lifecycle automation - Establishing integration patterns, credential management standards, and data access models that scale across teams - Ensuring infrastructure is secure, observable, and operable - Rapid iteration: deploying working software, collecting feedback, and improving Qualifications: - Staff-level engineering capability with deep expertise in AI systems architecture - Strong judgment on when to build versus when to align with platform capabilities - Ability to set the technical bar for how AI systems are built, integrated, and maintained across an organization - Excellent collaboration skills with business stakeholders and Product Engineering teams - Experience raising the technical floor across engineering organizations Compensation: Not specified in the job posting. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!