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Director Aws Machine Learning Jobs in Chicago, IL

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

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 ...

Socket.dev

Machine Learning Engineer

Oakbrook Terrace, IL · On-site

$110 - $145/hr

We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional ... Experience with a major cloud platform (Databrick, AWS) * Familiarity with workflow orchestration ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ... Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML ...

Vizient

AVP, Machine Learning & Modeling

Chicago, IL

$156K - $290K/yr

Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ... Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML ...

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All JobsAws Machine Learning JobsDirector Aws Machine Learning JobsDirector Aws Machine Learning Jobs in Chicago, IL

Director Aws Machine Learning information

See Chicago, IL salary details

$37.1K

$94.7K

$145.3K

How much do director aws machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for director aws machine learning in Chicago, IL is $94,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $109,200.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Aws Machine Learning jobs in Chicago, IL?

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Director Aws Machine Learning jobs near you
Infographic showing various Director Aws Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $94,704 per year, or $45.5 per hour.

AWS + Generative AI Engineer

TekCommands Inc

Chicago, IL • On-site

$66.75 - $87.50/hr

Contractor

Re-posted 20 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