Staff Software Engineer, AI Systems

Dolby Laboratories; Dublin; On-site; EUR 120,000 - 190,000; Full time

Job summary

Dolby Cloud Solutions in Ireland is seeking an AI Systems Architect to define the core architecture for data and integrations enabling AI-driven workflows across business units. You will shape the shared infrastructure, manage credentials, and collaborate with engineering to scale platform capabilities.

You will drive secure, observable, and operable systems, standing up hosting for agents and automations while ensuring reliable data flows across CRM, billing, support, and product usage.

Qualifications

• 5+ years building production software with AI-assisted tools.
• Experience making architectural decisions and setting standards.
• Strong in Python or TypeScript/Node.js, and adaptable.
• Experience building AI-enabled workflows and integrations.

Responsibilities

• Define the architecture of the shared data/integration layer and standards.
• Build data and integration layer enabling AI agents across functions.
• Integrate with SaaS APIs and manage credentials.
• Collaborate with product engineering on infrastructure and platform capabilities.
• Stand up hosting for agents and automations, moving to production.
• Ensure security, observability, and operability across systems.

Skills

AI systems design

Python/TypeScript

APIs (REST)

Security best practices

LLM tooling

Stakeholder management

Architectural decisions

Tools

MCP (Model Context Protocol)

SaaS integrations

CI/CD

Kubernetes

Cloud familiarity

Job description

About Us

Dolby 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 OptiView 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 Us

Dolby 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 OptiView 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.

What You’ll Do

Own 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 DCS

• Set 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, Marketing, and Finance build and deploy their own AI solutions on the shared infrastructure

Required

What You Bring

• 5+ years building production software - applications, APIs, backend services, platform infrastructure, or data integrations - with a demonstrated track record of leveraging AI-assisted development tools (Devin, Claude, Codex, Cursor, or similar) as a core part of engineering delivery
• Proven experience making architectural decisions, set technical standards, and influenced how an engineering organization builds
• Strong with Python or TypeScript/Node.js; comfortable picking up whatever the job requires
• Experience building tool-use integrations for AI systems; familiarity with MCP (Model Context Protocol) or similar protocols/frameworks is strongly preferred
• Proven experience integrating with SaaS APIs (REST, webhooks, OAuth) - you have connected real business systems and understand the edge cases
• Hands-on experience with LLM APIs and agentic frameworks - you have built production agents or AI-powered workflows, not just prototypes
• Comfortable working with business stakeholders - you can participate in requirements discussions, ask the right questions, push back constructively, and translate business intent into working software
• Experienced collaborating with product and platform engineering teams - you know how to articulate what you need, align on approach, and get things built across team boundaries
• Security-conscious: you understand data classification, access controls, API credentials, compliance requirements, and risk management principles, and you incorporate them into the systems you build

Strong Plus

• Experience designing federated data layers, shared integration infrastructure, or multi-system data pipelines
• Familiarity with common SaaS business systems used in revenue, support, or customer success operations
• Background in Customer Success, RevOps, or SaaS B2B - you understand the business domain you're building for
• Experience incorporating data classification, compliance, security, and risk assessment considerations into the design and operation of AI-powered systems and business automations