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Manager Generative Ai Jobs in Chicago, IL (NOW HIRING)

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

Configure and manage AWS Config and governance policies to ensure security and compliance. * Design ... Mentor engineering teams on AWS and Generative AI technologies. Required Skills * 12-16 years of ...

Avant

Generative AI Product Manager

Chicago, IL

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product, and innovation. This role is about more than just experimenting with AI tools-it's about scaling AI ...

Avant LLC

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product, and innovation. This role is about more than just experimenting with AI tools-it's about scaling AI ...

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All JobsGenerative Ai JobsManager Generative Ai JobsManager Generative Ai Jobs in Chicago, IL

Manager Generative Ai information

What is the difference between Manager Generative Ai vs Data Scientist?

AspectManager Generative AiData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI project managementDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentLeads AI teams, collaborates with product and engineering teams, oversees AI projectsAnalyzes data, develops models, and provides insights; often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

The main difference is that a Manager Generative Ai oversees AI projects and teams focusing on generative models, while a Data Scientist primarily analyzes data and develops models. Managers focus on leadership and strategy, whereas Data Scientists focus on technical analysis and model development.

What are the most commonly searched types of Generative Ai jobs in Chicago, IL?

The most popular types of Generative Ai jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Manager Generative Ai jobs?

Cities near Chicago, IL with the most Manager Generative Ai job openings:

Manager Generative Ai jobs near you

AWS + Generative AI Engineer

TekCommands Inc

Chicago, IL • On-site

$66.75 - $87.50/hr

Contractor

Re-posted 8 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