Solutions Architect, AI Factory Infrastructure
- Remote, United States
- Mid-level
- Posted 7 days ago
or apply from Claude / ChatGPT / Muse
Early-career solutions architect helping customers design AI data centers, with a focus on accelerated computing and hybrid cloud.
About the role
Full-stack design of AI factory infrastructure, from hardware architecture to workload orchestration and application tuning, for enterprise customers.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Skills
- Linux, Kubernetes, Ethernet networking, Python, Terraform, Helm
- Posted
- 28 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Guide customers through AI factory workflows and performance optimization
- Design data center setups for inference, including distributed and disaggregated workloads
- Lead technical sales for AI factories, focusing on hybrid cloud and on-prem deployments
- Deliver hybrid cloud architectures covering data pipelines, storage, security and streaming
What they look for
- Bachelor's degree in Engineering or Computer Science, or equivalent experience
- 3+ years in IT infrastructure or a related field
- Knowledge of Linux, Kubernetes, Ethernet networking and cloud native tooling
- Comfortable with Python programming
- Able to work independently with a remote team
Nice to have
- Experience with on-prem infrastructure architecture and large cloud deployments
- Familiarity with Terraform, Kubernetes and Helm
- Background building large-scale container-based infrastructure
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
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Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job ao4543echeQuestions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a mid-level role. The posting asks for: bachelor's degree in Engineering or Computer Science, or equivalent experience; 3+ years in IT infrastructure or a related field; knowledge of Linux, Kubernetes, Ethernet networking and cloud native tooling. Skills it names include Linux, Kubernetes, Ethernet networking, Python.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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