AWS AI/IoT Architect
- Remote, United States
- Senior
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Hands-on senior architect building multi-tenant IoT platforms and generative AI features on AWS, from device provisioning to fleet operations.
About the role
Cloud solutions team work that spans embedded Linux devices, edge AI hardware and Bedrock-based AI apps; engineers own implementation and test on simulated fleets and real boards.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- AWS IoT Core, AWS IoT Greengrass, Amazon Bedrock, Python, Yocto, MQTT, RAG
- Posted
- 29 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Design AWS IoT Core onboarding, identity, fleet management and tenant isolation with X.509 certificates and mutual TLS
- Build Greengrass v2 components and deployments, including on constrained devices
- Create Bedrock AI applications with RAG pipelines, agents and structured extraction
- Write Python services and APIs that connect AI features to customer systems
- Implement secure OTA pipelines with signed manifests, staged rollout and rollback
- Build MQTT telemetry pipelines with versioned schemas and IoT rules
What they look for
- Deep AWS IoT Core and Greengrass v2 experience
- Generative AI delivery on AWS, including Bedrock and RAG
- Python plus C/C++ for embedded Linux, with Yocto and systemd
- Familiarity with Arm cross-compilation and packaging
- Practice with evaluation datasets, automated tests and AI safeguards
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 gy7hq2mqksQuestions 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?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: deep AWS IoT Core and Greengrass v2 experience; generative AI delivery on AWS, including Bedrock and RAG; python plus C/C++ for embedded Linux, with Yocto and systemd. Skills it names include AWS IoT Core, AWS IoT Greengrass, Amazon Bedrock, 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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