GDITHiring

Senior AI Engineer (AWS)

  • Remote, United States
  • Senior
  • Posted 13 days ago
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In one line

Senior AWS AI engineer on a fully remote team serving a federal research community, building generative AI agents and RAG systems in production.

About the role

The work supports scientific research, so agents and models have to be reliable, secure and observable once they ship. You act as the AI engineering expert on a cloud platform and DevOps team, mentoring others and advising customers.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
AWS, Amazon Bedrock, Amazon SageMaker, Terraform, CloudFormation, RAG, generative AI, Prompt engineering
Posted
22 Oct 2026
Last checked
25 Oct 2026

What you will do

  • Build and ship multi-agent systems on Amazon Bedrock and Bedrock AgentCore, including tool use, memory and human review steps
  • Pick and evaluate foundation models, build and test RAG pipelines, and apply prompt engineering and model customization
  • Design secure, highly available AI architectures on AWS using the Well-Architected Framework
  • Run agents in production with guardrails, observability, cost and latency tuning, CI/CD and Terraform or CloudFormation
  • Mentor junior engineers and explain tradeoffs to technical and non-technical stakeholders

What they look for

  • 8 or more years of related experience
  • Hands-on work with Amazon Bedrock, Bedrock AgentCore, SageMaker and Amazon Q
  • Command of modern application architecture, LLM technology, networking, identity and security
  • Able to obtain and keep a Public Trust clearance, including onsite fingerprinting

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
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How to connect

Questions 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?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: 8 or more years of related experience; hands-on work with Amazon Bedrock, Bedrock AgentCore, SageMaker and Amazon Q; command of modern application architecture, LLM technology, networking, identity and security. Skills it names include AWS, Amazon Bedrock, Amazon SageMaker, Terraform.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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