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Remote Amazon Bedrock Jobs (NOW HIRING)

Apptad, Inc.

GenAI / Bedrock Architect

Define secure, repeatable AI reference architectures spanning Amazon Bedrock, Amazon Q Business ... The role is primarily remote but may require travel up to 20% during the engagement for on-site ...

United Airlines

AWS Solution Architect

San Francisco, CA · Remote

$98K - $233K/yr

Location This is remote role based Anywhere in USA About the job you're considering Capgemini is hiring an AWS Solutions Architect - Agentic AI & Amazon Bedrock to work with a scrum team in an ...

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 ...

System One

GENAI CCAS Application Developer

Washington, DC · Remote

$56.23 - $62/hr

Remote (Quarterly Travel to Gaithersburg, MD) Hours: 40.0 Security Clearance: Ability to obtain a ... Experience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt ...

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Remote Amazon Bedrock information

What is a remote Amazon Bedrock?

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 are the key skills and qualifications needed to thrive as a remote Amazon Bedrock engineer?

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 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.

Does Amazon allow fully remote work?

Amazon offers some remote work opportunities, including roles that can be performed fully remotely, depending on the position and team. The availability of remote work varies by job function, location, and business needs, with many roles requiring on-site presence or hybrid arrangements. Candidates should review specific job postings for remote work options and requirements.
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Remote Amazon Bedrock jobs near you
Infographic showing various Remote Amazon Bedrock job openings in the United States as of August 2026, with employment types broken down into 61% Full Time, 8% Part Time, and 31% Contract. Highlights an 100% Remote job distribution.

SENIOR AMAZON BEDROCK/RAG ENGINEER

Axyde Analytics

Midlothian, VA • On-site, Remote

$99K - $135K/yr

Full-time

Posted 5 days ago

Job description

Axyde Analytics seeks a senior Amazon Bedrock engineer to configure secure retrieval-augmented generation, document processing, structured extraction, source attribution, and policy-mapping capabilities for a federal analytics platform.
Responsibilities
  • Configure Amazon Bedrock managed Knowledge Bases and approved managed retrieval components.
  • Implement secure ingestion and indexing of approved websites, linked documents, PDFs, and enterprise data.
  • Configure foundation models, embedding models, chunking, retrieval, prompts, schemas, and guardrails.
  • Extract structured issues, requirements, entities, relationships, and exact supporting source excerpts.
  • Implement citation-backed responses and traceable mappings between source documents and Government directives.
  • Ensure prompts and Government data remain within the authorized environment and are not used to train external models.
  • Develop measurable evaluation criteria for extraction accuracy, retrieval quality, citation correctness, and hallucination control.
  • Support OCR and managed natural-language-processing services when approved.
  • Document exact models, versions, configurations, limitations, and dependencies.
  • Support live demonstrations, production hardening, monitoring, and continuous improvement.

Required Experience
  • Direct production experience with Amazon Bedrock and Bedrock Knowledge Bases.
  • Experience with managed web crawling, linked-document ingestion, parsing, embeddings, vector retrieval, structured extraction, and RAG evaluation.
  • Strong understanding of prompt security, model governance, guardrails, source attribution, and sensitive-data handling.
  • Experience implementing AI solutions in federal, healthcare, financial, or similarly regulated environments.
  • Ability to work exclusively within an approved AWS managed-service architecture.

Current Baseline
The current baseline includes Amazon Bedrock, managed Knowledge Bases, approved Bedrock-managed retrieval, Claude Sonnet, Titan Text Embeddings, Guardrails, S3, Step Functions, and AWS-native security and monitoring. Exact services, models, versions, and regions will be governed by Axyde's final approved technical baseline.
Engagement
U.S. citizenship required. Remote within the United States. Immediate availability for proposal validation and demonstration development is preferred. Continued work is contingent upon award.

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