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Remote Amazon Bedrock Jobs (NOW HIRING)

Numentica LLC

GenAI / Bedrock Architect

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The GenAI / Bedrock Architect owns the technical design of generative AI solutions built on Amazon Bedrock and the broader AWS AI stack. This is a senior ...

Numentica LLC

AI Application Engineer

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The AI Application Engineer builds the prototypes, services ... Build prototypes and pilot-ready services implementing AI use cases on Amazon Bedrock, including ...

Numentica LLC

Data / Search Specialist

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The Data / Search Specialist makes the customer's knowledge ... Design and maintain knowledge base structures using Amazon Bedrock Knowledge Bases and Amazon ...

Miratech

$54 - $71.25/hr

Implement GenAI solutions using Amazon Bedrock, SageMaker, and third-party/open-source LLMs ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

Miratech

Amazon Connect Architect

Canada, KY · Remote

$54 - $71.25/hr

Implement GenAI solutions using Amazon Bedrock, SageMaker, and third-party/open-source LLMs ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

Miratech

Amazon Connect Architect

$64.50 - $85/hr

Implement GenAI solutions using Amazon Bedrock, SageMaker, and third-party/open-source LLMs ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

SqlDBM

Head of Engineering

$255K - $285K/yr

Amazon Bedrock What You Bring * Proven engineering leadership (supported 10-30 devs across multiple ... Fully remote, async-first team. * Annual bonus opportunity: Up to 10% of base salary tied to ...

Govcio LLC

Backend Developer - Ruby on Rails (Remote)

$90K - $120K/yr

This is a fully remote position open to candidates within the Continental United States (CONUS ... Support operationalizing AI solutions within AWS, including Amazon Bedrock (model selection ...

Jobgether

$50.25 - $63.75/hr

Design production-grade solutions using services such as Amazon Bedrock and Amazon SageMaker ... Benefits * Fully remote-first working model with global team collaboration * Competitive ...

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Remote Amazon Bedrock information

What are the key skills and qualifications needed to thrive as a Remote Amazon Bedrock Engineer, and why are they important?

To thrive as a Remote Amazon Bedrock Engineer, you need a strong background in cloud computing, AI/ML model deployment, and proficiency in programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with AWS services (especially Amazon Bedrock), containerization tools like Docker, and relevant certifications such as AWS Certified Solutions Architect are highly valued. Excellent problem-solving skills, effective remote communication, and the ability to work independently are standout soft skills in this role. These combined skills ensure efficient development, deployment, and management of generative AI applications on Amazon Bedrock, driving innovation and reliability in distributed teams.

What are some common challenges faced by Remote Amazon Bedrock engineers, and how can they be addressed?

Remote Amazon Bedrock engineers often encounter challenges such as coordinating effectively with distributed teams and staying up-to-date with rapidly evolving cloud technologies. To overcome these hurdles, it's important to establish clear communication channels, leverage collaborative tools like Slack or Amazon Chime, and participate in regular virtual meetings. Additionally, dedicating time to continuous learning and certification ensures that engineers remain proficient with the latest AWS Bedrock features and best practices. Building strong relationships with cross-functional teams also helps streamline workflows and problem-solving.

What is a Remote Amazon Bedrock job?

A Remote Amazon Bedrock job typically involves working with Amazon Bedrock, a fully managed service from AWS that makes it easy to build and scale generative AI applications using foundation models. In a remote position, employees can perform their duties from any location outside of a traditional office environment. Job responsibilities may include integrating Bedrock with other AWS services, developing AI-powered applications, managing security and compliance, and providing technical support. These roles often require knowledge of machine learning, cloud computing, and AWS infrastructure.

What is the difference between Remote Amazon Bedrock vs Remote Cloud Engineer?

AspectRemote Amazon BedrockRemote Cloud Engineer
Required CredentialsAWS certifications, AI/ML knowledgeCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentPrimarily cloud-based, AI/ML developmentCloud platforms, infrastructure management
Employer & Industry UsageAmazon, AI/ML servicesVarious tech companies, cloud service providers

Remote Amazon Bedrock specialists focus on AI/ML model deployment using Amazon's platform, requiring AI expertise and AWS certifications. Remote Cloud Engineers handle cloud infrastructure across platforms, emphasizing scripting and infrastructure skills. Both roles work remotely in tech environments but differ in their core focus and certifications.

More about Remote Amazon Bedrock jobs
What cities are hiring for Remote Amazon Bedrock jobs? Cities with the most Remote Amazon Bedrock job openings:
What are the most commonly searched types of Amazon Bedrock jobs? The most popular types of Amazon Bedrock jobs are:
What states have the most Remote Amazon Bedrock jobs? States with the most job openings for Remote Amazon Bedrock jobs include:
What job categories do people searching Remote Amazon Bedrock jobs look for? The top searched job categories for Remote Amazon Bedrock jobs are:
Remote Amazon Bedrock jobs near you
Infographic showing various Remote Amazon Bedrock job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
GenAI / Bedrock Architect

GenAI / Bedrock Architect

Numentica LLC

Los Angeles, CA • Remote

$40 - $50/hr

Full-time

Posted 5 days ago

Job description

This is a remote position.

Role Summary

The GenAI / Bedrock Architect owns the technical design of generative AI solutions built on Amazon Bedrock and the broader AWS AI stack. This is a senior, customer-facing role where AWS and customer staff jointly design, build, and secure AI capabilities rather than handing
over finished artifacts. The architect defines secure, repeatable reference architectures, leads architecture and security workshops, translates business use cases into sound and governed designs, and actively enables the customer's own engineers to keep building after the
engagement.

Key Responsibilities

  • Define secure, repeatable AI reference architectures spanning Amazon Bedrock, Amazon Q Business, and Amazon QuickSight as appropriate to the selected use cases.
  • Design generative AI patterns, including foundation model selection criteria, prompt and grounding design, RAG pipelines, agentic workflows, and tool/function calling.
  • Establish the secure AI foundation: identity, role-based access, encryption, logging, data-boundary controls, and audit patterns, working with the Security Architect.
  • Define guardrails, content filtering, prompt-logging policy, human-review patterns, and responsible-AI controls, accounting for data classification and PHI/PII handling.
  • Set the model and retrieval evaluation strategy and quality metrics, including citation and grounding expectations, and oversee iterative tuning.
  • Produce production-readiness gap analysis and a hardening/productionization roadmap.
  • Lead architecture and security review workshops, demos, and enablement office hours with the customer and stakeholders, presenting trade-offs in clear, accessible terms.
  • Enable and upskill the customers engineering teams through paired design work, including spec-driven development and MCP-based workflows.
  • Provide technical direction to AI Application Engineers and Data/Search Specialists and produce reusable architecture artifacts, reference patterns, and documentation.

Required Qualifications

  • Strong hands-on experience designing and delivering generative AI solutions, ideally on Amazon Bedrock or comparable foundation-model platforms.
  • Deep understanding of LLM application patterns: RAG, agents, prompt engineering, function/tool calling, grounding/citation, and model evaluation.
  • Solid grounding in the broader AWS stack, including IAM, networking, storage, encryption,logging, and security fundamentals, not just the AI services.
  • Experience defining guardrails, evaluation frameworks, and responsible-AI / governance controls, including data classification and PHI/PII handling.
    Excellent communication and stakeholder-facing skills; able to lead architecture and security workshops and explain technical concepts to mixed audiences.
  • Proven ability to operate as a technical lead across a small delivery team.
  • Demonstrated experience enabling and upskilling customer engineering teams through paired delivery, not just shipping solutions.
  • Familiarity with spec-driven development workflows and MCP (Model Context Protocol) based tooling.
  • Please provide a list of current AWS certifications

Preferred Qualifications

  • Experience delivering AI solutions in regulated or public-sector / government environments.
  • Familiarity with Amazon Q Business and QuickSight, and with enterprise knowledge and BI patterns.
  • Experience integrating with the Microsoft 365 ecosystem (SharePoint, Exchange/Outlook, Teams, OneDrive) and tools such as ServiceNow, Jira, Dynatrace, or Wiz.
  • Background in MLOps, CI/CD, or infrastructure-as-code on AWS.

Location & Travel

  • This is a US-only position; candidates must be authorized to work in and based in the United States.
  • The role is primarily remote but may require travel up to 20% during the engagement for on-site workshops and customer sessions.
Experience Level
  • Senior. Typically 10+ years overall with significant recent experience in AI/ML and cloud architecture. This is the technical anchor for the engagement and must hold up to customer and partner scrutiny.