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Generative Ai Hr Jobs (NOW HIRING)

SysMind Tech

Gen-AI Engineers

Jersey City, NJ · On-site

$65 - $70/hr

Financial Services Bill Rate: $65-$70/hr. Strong candidates at a higher rate may also be submitted ... Design, develop, and implement Generative AI solutions using LLMs and related AI technologies.

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How much do generative ai hr jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for generative ai hr in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $34.13 per hour, depending on experience, location, and employer.

What is a Generative AI HR professional?

A Generative AI HR professional is a human resources specialist who leverages generative artificial intelligence tools and techniques to improve HR functions such as recruitment, onboarding, employee engagement, and workforce planning. They use AI-driven solutions to automate repetitive tasks, analyze large datasets, personalize employee experiences, and enhance decision-making processes. Their role often includes implementing and managing AI-powered software, ensuring ethical AI use, and continuously training HR teams on new technologies. This position requires a blend of HR expertise, data literacy, and an understanding of AI models and ethical guidelines.

How does a Generative AI HR professional typically collaborate with other departments to implement AI-driven HR solutions?

Generative AI HR professionals work closely with cross-functional teams, including IT, data science, and business unit leaders, to design and implement AI-driven solutions for HR processes. They often consult with hiring managers and department heads to understand workforce needs and ensure AI tools align with organizational goals. Regular collaboration with legal and compliance teams is also common to address ethical and privacy considerations. This collaborative environment fosters the integration of advanced AI technologies into recruitment, employee engagement, and talent management strategies.

What are the key skills and qualifications needed to thrive as a Generative AI HR professional, and why are they important?

To thrive as a Generative AI HR professional, you need a solid background in human resources practices, data analysis, and familiarity with artificial intelligence concepts, typically supported by a relevant degree or HR certification. Experience with HR technology platforms, AI-driven recruitment tools, and data management systems is highly valued. Strong communication, problem-solving abilities, and adaptability to emerging technologies are crucial soft skills for excelling in this role. These competencies enable effective integration of AI solutions into HR processes, driving efficiency and strategic decision-making in talent management.
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Generative Ai Hr jobs near you
Infographic showing various Generative Ai Hr job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $63,109 per year, or $30.3 per hour.

Generative AI Developer

Indotronix International Corporation

Albany, NY • On-site

$52 - $67/hr

Full-time

Posted 25 days ago

Job description

Generative AI Developer | Albany, New York, United States
Pay rate:
$65/Hr on W2
$70/Hr on C2C
Location: Hybrid; 50% onsite in Albany, NY
Key Responsibilities:
  • Design, develop, enhance, and maintain chatbot and virtual agent solutions built on Google Cloud Platform.
  • Build and support conversational AI applications using Google Dialogflow and related technologies.
  • Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies.
  • Develop and maintain backend services and APIs using Python and JavaScript.
  • Support existing applications, troubleshoot issues, and implement enhancements.
  • Collaborate with business stakeholders and technical teams to gather requirements and deliver solutions.
  • Maintain high-quality, readable, and well-documented code.
  • Participate in code reviews, testing, deployment, and continuous improvement activities.
  • Contribute to infrastructure automation and CI/CD processes using Terraform and Git-based repositories.

Required Qualifications:
  • Bachelor's degree.
  • Minimum 5 years related experience.
  • Minimum 2 years of hands-on experience with Google Cloud Platform (GCP).
  • Minimum 2 years of experience developing chatbots or conversational AI solutions using Google Dialogflow or similar technologies.
  • Experience building Generative AI applications and AI agents.
  • Strong understanding of Retrieval-Augmented Generation (RAG) concepts and implementations.
  • Experience with prompt engineering and prompt optimization techniques.
  • Proficiency in Python application development.
  • Proficiency in JavaScript development for both frontend and backend applications.
  • Experience using source control systems such as Git, GitHub, or GitLab.
  • Experience developing and maintaining infrastructure-as-code solutions using Terraform.
  • Ability to write and maintain clean, scalable, and maintainable code.
  • Strong verbal and written communication skills.
  • Experience working directly with business stakeholders and customers.

Preferred Qualifications:
  • Google Cloud certifications.
  • Experience with Dialogflow CX, Conversational Agents, and Playbooks.
  • Experience working with various Generative AI platforms and services.
  • Machine Learning or AI model development experience.
  • Experience with Looker reporting and LookML.
  • Experience designing and deploying cloud-native applications.
  • Familiarity with Agile development methodologies and DevOps practices.

Technical Skills:
  • Cloud Platforms: Google Cloud Platform (GCP)
  • Conversational AI: Dialogflow, Conversational Agents
  • Generative AI: AI Agents, RAG, Prompt Engineering
  • Programming Languages: Python, JavaScript
  • Infrastructure as Code: Terraform
  • Version Control: Git, GitHub, GitLab
  • Analytics & Reporting: Looker, LookML
  • Development Practices: CI/CD, Code Reviews, Testing, Documentation
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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