Senior AI Infrastructure Engineer

Workday Sweden Aktiebolag; Stockholms län; On-site; SEK 900,000 - 1,400,000; Full time

Job summary

Sana, part of Workday, is seeking engineers to build the core agent infrastructure that powers our mission to bring superintelligence to work. This greenfield role focuses on how AI agents plan, reason, and execute across enterprise environments, spanning agent architecture, context-, tool-, and prompt engineering, and production infrastructure.

You will work at the intersection of system design and scalable back-end development, shaping robust, safe, and high-performance AI foundations for

Qualifications

• 3+ years of software engineering experience building production backend or platform systems.
• 3+ years of experience in TypeScript with reliable services.
• 3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.
• 3+ years of experience designing scalable, reliable, observable systems.

Responsibilities

• Architect multi-step planning, orchestration, and tool routing for agents.
• Implement code generation agents and sandboxed code execution.
• Engineer memory, state, and context packing/grounding strategies.
• Balance latency, quality, and cost controls for agent execution.
• Develop safe fallbacks, graceful degradation and robust error handling.
• Collaborate with platform and search teams to deliver reusable agent infrastructure.
• Establish safety guarantees and measurable quality improvements.

Skills

Backend engineering

TypeScript

Distributed systems

Scalability

APIs

Cloud platforms

Observability

Tools

Kubernetes

PostgreSQL

Redis

Job description

Sana, part of Workday, is seeking engineers to build the core agent infrastructure that powers our mission to bring superintelligence to work. This greenfield role focuses on how AI agents plan, reason, and execute across enterprise environments, spanning agent architecture, context-, tool-, and prompt engineering, and production infrastructure.

You will work at the intersection of system design and scalable back-end development, shaping robust, safe, and high-performance AI foundations for