LiveKitSolutions Architect
LiveKit is hiring a Solutions Architect for a remote role open to applicants in United Kingdom. It pays £160k-£240k a year and Level rates it ; you can apply on LiveKit.
Level's read on this job
- Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions OpenAI, LLM integration and AI agents among its tools and skills.
- LiveKit has 26 other open roles on Level.
- Posted in the last few days.
AI in this role
ABOUT LIVEKIT
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.
ABOUT THIS ROLE
We're hiring a Solutions Architect (Pre-Sales) to be the technical partner to the engineers and enterprises building on LiveKit.
You'll work alongside an account executive to understand what a customer is trying to build, design the right architecture, and bring it to life with live demos and proofs-of-concept — guiding teams from first conversation to production.
This role is ideal for someone who loves to build, is energized by talking with other engineers, and takes pride in turning a hard technical problem into something that just works. Real-time voice and video is visceral — latency, quality, and reliability are felt, not read about — so the best conversations include something live. You'll collaborate closely with our Sales, Engineering, Product teams to win technical decisions and to make sure what you hear in the field informs how we build.
YOU'LL THRIVE HERE IF YOU:
love to build and solve the most challenging customer problems with LiveKit
have a curious mind with a continuous desire to learn and improve
enjoy demoing and presenting, whether to a room of engineer, to a CTO or at a conference
have a team first mentally, seeking to lift others around you as you progress in your career
WHAT YOU'LL DO
Partner with an account executive as the technical lead on strategic deals — from discovery and architecture design through demos, POCs, and technical decisions
Advise customers on cloud architecture and deployment across self-hosted and LiveKit Cloud (AWS, GCP, Azure)
Build live demos and reference applications — voice agents, video pipelines, telephony integrations — tailored to each customer's use case, and reusable by the wider team
Scope and run proofs-of-concept against clear, shared success criteria, guiding customers all the way to production
Reason with customers about connectivity, infrastructure, and end-to-end latency to design for scale and reliability
Create technical content — blog posts, guides, webinars, and conference talks — that helps developers and enterprises build with LiveKit
Act as the technical enabler for your region's pod, and share field insight with Product and Engineering to help shape the roadmap
WHO YOU ARE
4+ years in solutions architecture, sales engineering, or a customer-facing engineering role (or equivalent hands-on engineering experience with strong customer instincts)
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) — you can architect, deploy, and debug real applications
Comfortable with the modern deployment toolchain: containers, Kubernetes, infrastructure-as-code, and networking fundamentals (load balancing, DNS, firewalls/NAT)
Able to reason about connectivity, infrastructure, and latency end to end — how architecture, network path, compute, co-location, and model choice shape the AI agentic experiences of today
Strong programming ability in at least one of our core SDK languages — Python, TypeScript/Node, or Go
A clear communicator who can demo, present, and write for technical audiences
NICE TO HAVE
Working knowledge of real-time media protocols and their latency/quality trade-offs (WebRTC, RTP/SRTP, WebSockets)
Familiarity with the AI voice stack: STT/TTS providers, LLM integration, speech-to-speech models, turn detection, and telephony/SIP
Experience speaking at meetups or conferences, or a track record of technical writing or open-source contributions
OUR COMMITMENT TO YOU
An opportunity to build something truly impactful to the world
Contribute to open source alongside world-class engineers
Competitive salary and equity package
Flexible vacation policy
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.
How we rate this
Solutions Architect at LiveKit rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $168k
Use the typical solutions architect figure as a reference when pay comes up. See solutions architect jobs
Questions you could be asked
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: LLM Integration, AI agents, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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