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Remote Aws Ai Practitioner Jobs (NOW HIRING)

Modus Create

AWS Partnership Manager

Concord, NC · Remote

Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a ... Ability to pass the AWS AI Practitioner exam (extra bonus if already have the certification!) * A ...

Krest Global Solutions

AWS Connect Developer

Dallas, TX · Remote

$60 - $65/hr

Remote Compensation : 50-60$/Hr on C2C/1099 Work Authorization: H1B, GC, USC Overview We are ... AI/ML services (Lex, Polly, Transcribe, Comprehend) to enhance IVR/chatbot automation. · ...

Apex Informatics

AI/ML Engineer

Remote Role Objective Support the implementation of artificial intelligence (AI) and machine ... including AWS (primary) and Azure (acceptable). - Ensure secure development, deployment, and ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

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Remote Aws Ai Practitioner information

What is the difference between Remote Aws Ai Practitioner vs Remote Data Scientist?

AspectRemote Aws Ai PractitionerRemote Data Scientist
Required CredentialsAWS certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI/ML tools, remoteData analysis, modeling, research, remote
Employer & Industry UsageTech companies, cloud providers, AI firmsResearch institutions, tech, finance, healthcare
Common Search & ComparisonYesYes

Remote Aws Ai Practitioners focus on deploying AI solutions using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a background in statistics and programming. While both roles involve AI and data, the AWS Ai Practitioner emphasizes cloud deployment and AWS tools, whereas Data Scientists focus on data analysis and modeling across various platforms.

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

To thrive as a Remote AWS AI Practitioner, you need a solid background in machine learning, data science, and cloud computing, typically supported by a degree in computer science or a related field and experience with AWS services. Proficiency with AWS tools like SageMaker, Lambda, and AI/ML frameworks, as well as relevant certifications such as AWS Certified Machine Learning – Specialty, is highly valuable. Strong problem-solving abilities, effective communication, and the ability to work independently are important soft skills in this remote role. These competencies are crucial for designing scalable AI solutions, collaborating with distributed teams, and delivering impactful results in a cloud-based environment.

How do Remote AWS AI Practitioners typically collaborate with cross-functional teams despite working remotely?

Remote AWS AI Practitioners regularly collaborate with software engineers, data scientists, and product managers via virtual meetings and cloud-based project management tools. Effective communication is crucial, as they often need to clarify requirements, share progress, and troubleshoot issues in real time. Many organizations use platforms like Slack, Jira, and AWS Cloud9 to facilitate seamless teamwork and code sharing. Building strong relationships and maintaining proactive communication are key to overcoming remote work challenges and ensuring successful AI project delivery.

What is a Remote AWS AI Practitioner?

A Remote AWS AI Practitioner is a professional who uses Amazon Web Services (AWS) to design, develop, and deploy artificial intelligence (AI) solutions while working remotely. They leverage AWS AI and machine learning services like Amazon SageMaker, AWS Lambda, and AWS Rekognition to build and manage intelligent applications. These practitioners often collaborate with teams online, ensure scalability and security of AI models, and help organizations automate processes or gain insights from data using AWS technology.
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Remote Aws Ai Practitioner jobs near you
Infographic showing various Remote Aws Ai Practitioner job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AWS AI Solutions Architect / AI Engineering Advisor

AWS AI Solutions Architect / AI Engineering Advisor

Aligned Technology Group

Baltimore, MD • On-site, Remote

$62.50 - $82.50/hr

Contractor

Posted 11 days ago

Job description

About Aligned Technology Group (Aligned TG)
Aligned TG empowers organizations to harness the full potential of AWS cloud technologies, driving secure, scalable, and sustainable business outcomes. We approach every challenge with grit, embracing a results-driven mindset to ensure our clients achieve their goals. Our mission is to deliver unparalleled cloud advisory, engineering, financial management, and security services while continuously learning and innovating to stay ahead of industry advancements. Guided by a culture of collaboration and humility-where being "Team AWSome" means leaving egos at the door-we tailor our services to meet the unique needs of technology-enabled startups, mid-market, and enterprise clients. With a focus on execution, agility, and excellence, we are the trusted partner businesses rely on to navigate the complexities of cloud modernization and achieve their strategic objectives.
Position Overview
Aligned Technology Group is seeking an AI Solutions Architect to help customers evaluate, design, and implement AI and Generative AI solutions on AWS. This role combines strategic consulting with hands-on architecture and engineering to deliver AI-driven business outcomes.
Responsibilities
  • Assess business use cases for AI, machine learning, and Generative AI
  • Develop AI adoption roadmaps and governance frameworks
  • Design AI architectures using AWS AI services such as Bedrock, SageMaker, and Amazon Q
  • Build proof-of-concept and pilot AI solutions
  • Develop Retrieval-Augmented Generation (RAG) architectures and knowledge bases
  • Implement AI-powered automation and workflow solutions
  • Establish responsible AI practices, guardrails, and governance controls
  • Conduct workshops, training sessions, and knowledge transfer activities
  • Collaborate with business and technical stakeholders to identify AI opportunities

Qualifications
  • 5+ years of cloud architecture, AI, machine learning, or data engineering experience
  • Hands-on experience with Generative AI and Large Language Models
  • Experience with Amazon Bedrock, SageMaker, and AI application development
  • Knowledge of RAG architectures, vector databases, and AI governance
  • Strong customer-facing consulting and communication skills
  • AWS Solutions Architect certification preferred
  • AWS AI Practitioner or AWS Machine Learning Specialty preferred

Apply