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Remote Amazon Bedrock Jobs (NOW HIRING)

$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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

$81K - $111K/yr

Integrate generative AI capabilities using Amazon Bedrock to enable intelligent automation ... Fully remote work opportunity * Exposure to cutting-edge AWS data and AI/ML technologies

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Remote Amazon Bedrock information

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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 meaning of remote in one word?

In the context of a Remote Amazon Bedrock role, 'remote' means working from a location outside a traditional office, typically from home or another non-office environment. It emphasizes flexibility in work location and often requires strong communication skills and self-discipline.

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.

What is the meaning of the word remote?

In the context of a Remote Amazon Bedrock job, 'remote' refers to a work arrangement where the employee performs their duties outside of a traditional office setting, often from home or another location of their choice. This setup typically requires strong communication skills and familiarity with digital collaboration tools. Remote jobs offer flexibility but may also involve self-discipline and time management skills.
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Full-time

Posted 6 days ago


Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking AI/ML Developer (AWS & Bedrock) for one of our client, Please share your resume with current location & full contact info
Role:AI/ML Developer (AWS & Bedrock)
Location:Remote
Job Summary:
  • Build applications using foundation models via Bedrock
  • Integrate LLMs (Claude, Titan, etc.) into business workflows
  • Develop and deploy ML pipelines using AWS services
  • Fine-tune or customize models using prompts or embeddings
  • Build APIs and microservices for AI solutions
  • Monitor, optimize, and scale models in production
  • Hands-on with Amazon Bedrock
  • Experience with foundation models (Anthropic Claude, Amazon Titan, etc.)
  • Prompt design, evaluation, and optimization
  • Building chatbots, summarization tools, and AI assistants
  • Implementing guardrails and responsible AI practices

With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com