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Remote Aws Ai Practitioner Jobs (NOW HIRING)

CDW

Project Manager

Concord, NC · Remote

This position is 100% remote. Responsibilities * Plan, schedule, document and manage activities ... AWS Cloud Practitioner and AWS AI Practitioner Certifications (required within 60 days of hire)

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 ...

CDW

Project Manager

Vernon Hills, IL · Remote

This position is 100% remote. Responsibilities * Plan, schedule, document and manage activities ... AWS Cloud Practitioner and AWS AI Practitioner Certifications (required within 60 days of hire)

CDW

Project Manager

This position is 100% remote. Responsibilities * Plan, schedule, document and manage activities ... AWS Cloud Practitioner and AWS AI Practitioner Certifications (required within 60 days of hire)

CDW

Project Manager

Vernon Hills, IL · Remote

This position is 100% remote. Responsibilities * Plan, schedule, document and manage activities ... AWS Cloud Practitioner and AWS AI Practitioner Certifications (required within 60 days of hire)

S R International, Inc.

Lead AI Engineer

$104K - $138K/yr

Lead AI Engineer Job Code: OH 808940 Client: State of Ohio - JFS Location: Remote (Ohio) Duration ... AWS, Azure This is a remote position. About SR International INC SR International has been a ...

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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 August 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Contract. Highlights an 100% Remote job distribution.

AWS Connect Developer

Krest Global Solutions

Jersey City, NJ • Remote

$60 - $65/hr

Contractor

Re-posted 18 days ago

Job description

Job Title: AWS Connect Developer

Location : Remote

Compensation : 50-60$/Hr on C2C/1099

Work Authorization: H1B, GC, USC

Overview

We are seeking a highly skilled AWS Connect Developer with expertise in Node.js, Amazon Connect, and systems integration. The role focuses on designing and developing customer engagement workflows, integrating Amazon Connect with CRMs (including Zoho), ticketing platforms, and other enterprise applications. The ideal candidate will bring strong technical experience and a problem-solving mindset to build scalable, intelligent, and secure contact center solutions.

Key Responsibilities

· Design, configure, and optimize Amazon Connect contact flows for voice, chat, SMS, and omni-channel interactions.

· Develop Node.js-based Lambda functions and backend services to extend Amazon Connect functionality.

· Build and maintain integrations between Amazon Connectand CRMs, including Zoho CRM, Salesforce, ServiceNow, and Zendesk.

· Enable bi-directional data flows (customer data sync, ticket creation, case management) between Connect and Zoho/other platforms.

· Implement real-time event streaming and reporting pipelines using AWS services (Kinesis, DynamoDB, Athena, S3).

· Leverage AWS AI/ML services (Lex, Polly, Transcribe, Comprehend) to enhance IVR/chatbot automation.

· Collaborate with business teams to automate workflows (lead management, support tickets, call recordings, customer notes) in Zoho and other third-party tools.

· Ensure data security, access controls, and compliance through IAM roles, encryption, and monitoring.

· Troubleshoot issues, optimize integrations, and deliver continuous improvements.

Required Qualifications

· 5–8 years of software development experience, including 2+ years in Amazon Connect development.

· Strong Node.js development skills (backend services, APIs, integrations).

· Hands-on experience with Amazon Connect: contact flows, queues, routing profiles, and reporting.

· Proven experience integrating Amazon Connect with Zoho CRM (or other CRMs like Salesforce/ServiceNow).

· Exposure to CI/CD pipelines (GitHub Actions, GitLab, AWS CodePipeline, or equivalent).

· Familiarity with REST/GraphQL APIs, webhooks, and OAuth-based integrations.

· Solid understanding of IAM security, role-based access, and compliance requirements.

· Expertise in AWS services: Lambda, API Gateway, Step Functions, DynamoDB, S3, CloudWatch.

Preferred Skills

· Experience with Amazon Lex, Polly, and Transcribe for conversational AI.

· Knowledge of Zoho ecosystem (CRM, Desk, Campaigns, Zoho PhoneBridge API).

· Background in contact center technologies such as Avaya, Genesys, or Twilio