we are looking for a Principal Architect.
You own the end-to-end architecture of the agentic platform: how speech, avatar generation, and the agentic reasoning layer combine into one coherent system that holds up in production, across many tenants, under a real-time latency budget.
This is the widest technical seat in the group. A single user turn crosses speech recognition, retrieval, planning and tool calling, speech synthesis, and avatar rendering, and the experience is only as good as the seams between them. The scope here is the whole path, including the parts we did not build ourselves: externally sourced capabilities, third-party model providers, and customer-owned systems reached through the gateway.
Some of the decisions here shape the platform for a long time: how the speech pipeline is composed, which real-time orchestration and transport framework the platform standardizes on, how new capabilities are absorbed into the target architecture, and where a shared component belongs versus a per-customer one. You define the criteria these decisions are judged against and work closely with the research team that benchmarks the options, so the call rests on evidence. You write the reasoning down, and you stay close enough to the code to know when reality disagrees with the design.
You are hands-on. You prototype to de-risk, you read the traces yourself, and you stay as close to the numbers as to the diagram.
Requirements: B.Sc. in Computer Science (or equivalent technical field), mandatory.
12+ years of industry experience, including 5+ years as a principal, staff, or lead architect owning system-level design for a production platform.
Proven track record architecting distributed, multi-tenant production systems at scale, with real accountability for latency, cost, and reliability.
Strong cloud experience, designing and running production systems on a major cloud platform.
Deep hands-on experience with agentic systems and LLMs, including orchestration, tool calling, interoperability standards such as MCP, retrieval, and how these systems fail in production.
Real-time systems experience: streaming transport, latency budgeting, and graceful degradation under load.
Strong Python skills. You still write code and read other peoples code closely.
Hands-on experience with evaluation, tracing, and observability for AI systems, and using what they show to drive architectural change.
Strongly Preferred:
Experience at a SaaS company.
Experience with speech technologies: ASR, TTS, or speech-to-speech, including streaming architectures.
Experience with generative video, avatar generation, or diffusion and flow-matching model families.
Experience with real-time media frameworks.
Experience with enterprise governance and compliance requirements.
Experience with multilingual systems.
M.Sc. or Ph.D. in Computer Science, Machine Learning, or a related field.
This position is open to all candidates.