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Full Time Aws Sagemaker Jobs (NOW HIRING)

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · On-site

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · On-site

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · On-site

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · Remote

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...

Infosys

Python AWS AI Engineer

Reston, VA · On-site

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... AWS SageMaker for model development and model deployment. • Experience with developing and ...

Infosys

Python AWS AI Engineer

Hartford, CT · On-site

... full-time Infosys employee you are also eligible for the following benefits: * Medical/Dental ... AWS SageMaker for model development and model deployment. • Experience with developing and ...

Emmes

Data Scientist

Rockville, MD · On-site +1

Train and evaluate models on the AWS platform using AWS services like AWS SageMaker. * Support data ... Employment Type: FULL_TIME

NAVA Software Solutions

Java Architect

San Francisco, CA · On-site

$74.25 - $100.25/hr

San Francisco CA Duration: Full time / Direct Hire We are looking for a Software Architect to ... Preferred experience with machine learning services such as AWS SageMaker. * Preferred experience ...

SOSi

Data Scientist

OR · On-site +1

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ...

SOSi

Data Scientist

OR · On-site

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ...

Lorven Technologies

AI Architect

San Jose, CA · On-site

... Full-Time LOCATION: San Jose, CA 95138 Skills/Experience * 6-10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud AI platforms (AWS SageMaker / Azure ML ...

SOSi

Data Scientist

OR · Remote

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ...

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Full Time Aws Sagemaker information

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How much do full time aws sagemaker jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for full time aws sagemaker 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 Full Time Aws Sagemaker vs Data Scientist?

AspectFull Time Aws SagemakerData Scientist
Required CredentialsAWS certifications, machine learning knowledgeStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, machine learning projectsData analysis, research, modeling
Industry UsageTech, e-commerce, financeHealthcare, finance, tech

Full Time Aws Sagemaker roles focus on deploying and managing machine learning models on AWS cloud, requiring cloud and ML certifications. Data Scientists analyze data, build models, and often have a broader statistical background. While both roles involve machine learning, Sagemaker specialists are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and model development.

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Full Time Aws Sagemaker jobs near you
Infographic showing various Full Time Aws Sagemaker job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

AWS Solutions Architect- AI/ML

Cloudelligent

Dallas, TX • On-site

$64 - $84/hr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Design and implement scalable cloud solutions that integrate data engineering, Generative AI, and machine learning technologies.

  • Lead cloud modernization initiatives, including application migration to AWS and multi-region deployments.

  • Collaborate with clients and internal teams to develop cloud architectures that meet business goals, ensuring security, scalability, and cost efficiency.

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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