ZipRecruiter

Log In

2

Remote Amazon Ai Jobs in Virginia (NOW HIRING)

Credence

Cloud Platform Engineer

Mclean, VA · Remote

$56.25 - $75.25/hr

We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced ... Support containerized workload deployments using technologies such as Docker, Amazon ECS, Amazon ...

next page

Showing results 1-20

All JobsAmazon Ai JobsRemote Amazon Ai JobsRemote Amazon Ai Jobs in Virginia

Remote Amazon Ai information

What is a Remote Amazon AI?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

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

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is the difference between Remote Amazon Ai vs Remote Data Scientist?

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Amazon Ai jobs in Virginia?

The most popular types of Amazon Ai jobs in Virginia are:

What are popular job titles related to Remote Amazon Ai jobs in Virginia?

For Remote Amazon Ai jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Ai jobs in Virginia look for?

The top searched job categories for Remote Amazon Ai jobs in Virginia are:

What cities in Virginia are hiring for Remote Amazon Ai jobs?

Cities in Virginia with the most Remote Amazon Ai job openings:

Remote Amazon Ai jobs near you
Infographic showing various Remote Amazon Ai job openings in Virginia as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% Remote job distribution.

SENIOR AMAZON BEDROCK/RAG ENGINEER - Remote

Axyde Analytics

Midlothian, VA • On-site, Remote

$99K - $135K/yr

Full-time

Posted 9 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.

Apply