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Remote Aws Ai Jobs (NOW HIRING)

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · Remote

$66.25 - $87/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with travel required. About Cloudelligent Cloudelligent is an AWS Premier Consulting Partner helping ...

Signet Jewelers Ltd.

AWS Data Architect (Remote)

Irving, TX · Remote

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... Ensure data architectures effectively support analytics, reporting and AI/ML use cases. * Drive end ...

Quantiphi, Inc.

AI Engineer

US (Remote) Role Overview: Quantiphi is seeking an experienced AI Engineer to help build a next ... Design and operate event-driven architectures using AWS native services and messaging middleware

Signet Jewelers Ltd.

AWS Data Architect (Remote)

Irving, TX · On-site +1

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... Ensure data architectures effectively support analytics, reporting and AI/ML use cases. * Drive end ...

Hercules

AI Context & Harness Engineer

San Francisco, CA · On-site +1

$100K - $250K/yr

Clouds: Cloudflare, AWS * AI Models: OpenAI, Anthropic, Google What are Hercules' operating ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

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How much do remote aws ai jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote aws ai in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What is the difference between Remote Aws Ai vs Cloud Engineer?

AspectRemote Aws AiCloud Engineer
Required CredentialsAWS certifications, AI/ML knowledgeCloud certifications, AWS, Azure, GCP
Work EnvironmentRemote, collaborative teams, cloud platformsRemote or on-site, cloud infrastructure management
Industry UsageTech, AI, machine learning projectsIT, cloud services, infrastructure deployment

Remote Aws Ai professionals focus on integrating AI solutions within AWS cloud environments, often requiring AI/ML expertise and AWS certifications. Cloud Engineers have a broader role managing various cloud infrastructures, including AWS, Azure, or GCP, and may work on deploying, maintaining, and optimizing cloud systems. While both roles involve cloud platforms, Remote Aws Ai specialists concentrate on AI-driven projects within AWS, whereas Cloud Engineers handle diverse cloud infrastructure tasks across multiple providers.

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What cities are hiring for Remote Aws Ai jobs? Cities with the most Remote Aws Ai job openings:
What are the most commonly searched types of Aws Ai jobs? The most popular types of Aws Ai jobs are:
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What job categories do people searching Remote Aws Ai jobs look for? The top searched job categories for Remote Aws Ai jobs are:
Remote Aws Ai jobs near you
Infographic showing various Remote Aws Ai job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.
AWS Solutions Architect- AI/ML

AWS Solutions Architect- AI/ML

Cloudelligent

Dallas, TX • Remote

$66.25 - $87/hr

Full-time

Posted 4 days ago

Job description

 Position Title: AWS Solutions Architect- AI/ML
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
  • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
  • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
  • Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies.
  • Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization.
  • Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
  • Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
  • Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
  • Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
  • Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
  • Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.
Requirements
  • 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
  • Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
  • Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
  • Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures.
  • Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
  • Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
  • Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.
Highly Preferred
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect – Associate or Professional

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