Solutions Architect (AI)

Location: Germany (Remote)

Compensation: €156,960–€238,020 OTE, split 70% base salary and 30% variable; offers equity.

Company

Builds infrastructure for developers to build, test, deploy, scale, and observe AI agents in production, including real-time voice and video applications.

What you will do

• Partner with an account executive as the technical lead on strategic deals, covering discovery, architecture design, demos, proofs-of-concept, and technical decisions.
• Advise customers on cloud architecture and deployment across self-hosted environments and cloud platforms.
• Build live demos and reusable reference applications for voice agents, video pipelines, and telephony integrations.
• Scope and run proofs-of-concept with shared success criteria and guide customers through production deployment.
• Analyze connectivity, infrastructure, and end-to-end latency to design scalable and reliable systems.
• Create technical content and share field insights with Product and Engineering to help shape the roadmap.

Requirements

• 4+ years of experience in solutions architecture, sales engineering, or customer-facing engineering, or equivalent hands-on engineering experience with strong customer instincts.
• Hands-on experience with at least one major cloud provider: AWS, GCP, or Azure, including architecting, deploying, and debugging real applications.
• Comfort with containers, Kubernetes, infrastructure-as-code, and networking fundamentals including load balancing, DNS, and firewalls/NAT.
• Ability to reason end to end about connectivity, infrastructure, latency, architecture, network paths, compute, co-location, and model choice in AI agent experiences.
• Strong programming ability in at least one core SDK language: Python, TypeScript/Node, or Go.
• Clear communication skills for demos, presentations, and technical writing.

Nice to have

• Working knowledge of real-time media protocols and their latency and quality trade-offs, including WebRTC, RTP/SRTP, and WebSockets.
• Familiarity with the AI voice stack, including STT/TTS providers, LLM integration, speech-to-speech models, turn detection, and telephony/SIP.
• Experience speaking at meetups or conferences, technical writing, or open-source contributions.

Culture & Benefits

• Opportunity to build impactful AI infrastructure and applications.
• Contribution to open source alongside experienced engineers.
• Competitive salary and equity package.
• Health, dental, and vision benefits.
• Flexible vacation policy.