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Aws Generative Ai Certified Jobs (NOW HIRING)

Celersoft

AWS and Gen AI Engineer

Houston, TX · Remote

$109K - $131K/yr

AWS Generative AI Engineer Location: 100% Remote Role: AWS GenAI Engineer - Intelligent Document Processing and Data Pipelines Job Summary We are seeking an experienced AWS Generative AI Engineer to ...

Amazon

Sr. Sales Specialist AI/ML

New York, NY · On-site

Join the US AWS US Sales organization as a Generative AI and Machine Learning Specialist Seller. As a Generative AI Sales Specialist, you will be at the forefront of driving adoption for AWS's AIML ...

Amazon

Sr. Sales Specialist AI/ML

New York, NY · On-site

Join the US AWS US Sales organization as a Generative AI and Machine Learning Specialist Seller! As ... plans - AIML degree / certifications Amazon is an equal opportunity employer and does not ...

Amazon

Sr. Sales Specialist AI/ML

New York, NY · On-site

Join the US AWS US Sales organization as a Generative AI and Machine Learning Specialist Seller. As a Generative AI Sales Specialist, you will be at the forefront of driving adoption for AWS's AIML ...

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Aws Generative Ai Certified information

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How much do aws generative ai certified jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for aws generative ai certified in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.

What other helpful pages are available for Aws Generative Ai Certified?

Other pages related to Aws Generative Ai Certified:

Infographic showing various Aws Generative Ai Certified job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.

AWS + Generative AI Engineer

Chicago, IL • On-site

TekCommands Inc
11 - 50 employees
Learn more about TekCommands Incexternal

$66.75 - $87.50/hr

Contractor

Re-posted 28 days ago

Job description

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures. This role involves building enterprise AI solutions, developing data pipelines, and collaborating with cross-functional teams to deliver innovative cloud applications.

Top 3 Required Skills

  1. AWS Cloud & Machine Learning
  2. AWS Bedrock & Generative AI
  3. AWS Data Pipelines & Infrastructure Automation

Key Responsibilities

  • Design and develop cloud-native applications using AWS services.
  • Build and deploy Generative AI solutions using AWS Bedrock.
  • Design and implement machine learning workflows, model deployment, and monitoring.
  • Develop scalable data pipelines for analytics and AI workloads.
  • Configure and manage AWS Config and governance policies to ensure security and compliance.
  • Design secure, reliable, and cost-effective AWS architectures.
  • Collaborate with data engineers, data scientists, and application teams to deliver AI-powered solutions.
  • Implement Infrastructure as Code (IaC) and cloud automation.
  • Optimize AWS environments for performance, scalability, and cost.
  • Document architecture, technical designs, and best practices.
  • Mentor engineering teams on AWS and Generative AI technologies.

Required Skills

  • 12–16 years of experience in Cloud Engineering, Solution Architecture, or Enterprise Architecture.
  • Strong hands-on experience with Amazon Web Services (AWS).
  • Experience with:
    • AWS Bedrock
    • AWS Machine Learning Services
    • AWS Data Pipeline or similar orchestration tools
    • AWS Config
  • Strong knowledge of Generative AI and Large Language Models (LLMs).
  • Experience designing cloud-native and distributed applications.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • Strong understanding of cloud security, governance, and identity management.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • Experience with AWS-based commerce platforms.
  • Knowledge of AI/ML model deployment and lifecycle management.
  • Experience with cloud automation and DevOps practices.
  • Experience with Python or other scripting languages.

Certifications

  • AWS Certified Solutions Architect – Professional or
  • AWS Certified Machine Learning – Specialty or equivalent AWS certification