Software Engineer, AI Systems

Job description Company and benefits Social Impact & Sustainability Job ID41663

About UsDolby Cloud Solutions is a video streaming software company that helps enterprise and mid-market organizations deliver exceptional audio and video experiences to their audiences. The Dolby Opti View SaaS platform serves a growing portfolio of customers across media, advertising, and real-time communications — with a mission to make immersive video experiences accessible and scalable for everyone.

About This Role Dolby Cloud Solutions is embedding AI into the core of how it operates — not as a side project, but as a fundamental shift in how work gets done across the business. The philosophy guiding this work is simple: AI prepares, humans decide.

This is a Staff-level engineering role at the center of that effort. You will own the technical architecture of the shared AI infrastructure that DCS teams build their business processes on — and you will build specific solutions on top of it. You will define the patterns, standards, and integration approaches that others follow, and serve as the technical authority when architectural decisions need to be made.

Business problems are owned by business stakeholders. You will work closely with those stakeholders — helping shape requirements and acceptance criteria where needed, then owning the build end to end. You will also collaborate with Opti View Product Engineering on shared infrastructure and systems integration, and engage Product Engineering when platform features or APIs need to be developed to support the work.

What You'll DoOwn the AI systems architecture

Define the technical architecture of the shared data and integration layer — not just build it, but set the standards and patterns that others build on top of Establish integration patterns, credential management standards, and data access models that scale across teams and systems

Ensure the infrastructure is secure, observable, and operable — not just functional at launch

Build and integrate across systems

Architect and implement the foundational data and integration layer that enables AI agents and applications to operate reliably across business functions

Build and maintain integrations between business systems — CRM, billing, support, product usage, and more — so that data flows where it needs to go Collaborate with Product Engineering on shared infrastructure, systems integration, and platform capabilities — you know when to build and when to align

Configure and manage MCP servers and API connections to internal systems, with proper credential management and security controls

Stand up shared hosting infrastructure for agents, automations, and applications, moving work off local workstations and into production environments

Build scheduled automations and event-driven workflows that run reliably without manual intervention

Deliver business solutions

Work with business stakeholders to understand problems, refine requirements, and define acceptance criteria — then own the build

Develop customer-facing and internal applications from requirements and user stories — these may be web applications, headless services, agentic flows, or a combination

Build AI-powered workflows for business teams including customer health monitoring, automated alerts, meeting intelligence, and revenue lifecycle automation

Iterate rapidly: deploy working software, collect feedback, and improve

Raise the technical floor across DCSSet the technical bar for how AI systems are built, integrated, and maintained across the organization — your decisions become the standard others follow

Maintain a shared repository of prompts, agents, skills, and workflows organized for reuse across teams

Help colleagues across Customer Success, Sales,…