Director Cloud Architecture & Delivery
- Remote, United States
- Lead
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Lead a new cloud architecture and forward-deployed engineering team that helps energy customers launch hosted and AI-enabled deployments, working with pre-sales.
About the role
The team designs, integrates and validates cloud solutions and AI agents inside customer environments, mostly on Azure with other clouds in the mix. Utilities, grid operators and developers rely on the architectures this role signs off on.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Lead
- Skills
- Azure, Cloud architecture, AI agents, Pre-sales
- Posted
- 27 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Build and lead the cloud architecture and forward-deployed engineering capability
- Own reference architectures, security and compliance answers and proof-of-concept environments for pursuits
- Turn sales commitments into practical cloud and AI onboarding plans
- Work with sales, solutions engineers, product, engineering and customer success on complex deals
- Hold technical conversations with senior customer stakeholders
What they look for
- Experience leading cloud architecture work, Azure first with other clouds as well
- Background in energy market software and consultative pre-sales
- Knowledge of applied AI and agentic systems
- Ability to design secure deployments that scale alongside customer cloud estates
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.
Apply with Keywordise AI7-day free trial, no card.
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 cdr4xh3jrkQuestions about this job
Is this a remote job, and where can I work from?
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 lead role. The posting asks for: experience leading cloud architecture work, Azure first with other clouds as well; background in energy market software and consultative pre-sales; knowledge of applied AI and agentic systems. Skills it names include Azure, Cloud architecture, AI agents, Pre-sales.
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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