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Generative Ai Hr Jobs (NOW HIRING)

CBTS

Senior AI Developer (Azure AI)

Bay City, TX · On-site

$75/hr

Contract / Contract-to-Hire Pay Rate: $75/hr on W2 We are seeking a Senior AI Developer to design ... Build Generative AI and RAG-based solutions using Azure OpenAI and enterprise data sources.

HARMAN International

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

... HR, legal, procurement, costing, and related business functions. You will work hands-on across the ... Design, build, and deploy AI and Generative AI solutions that automate internal workflows and ...

Harman International Industries

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

... HR, legal, procurement, costing, and related business functions. You will work hands-on across the ... Design, build, and deploy AI and Generative AI solutions that automate internal workflows and ...

Diverse Lynx

Cloud AI Engineer

Richardson, TX · On-site

$50 - $65/hr

Dallas, TX // Richardson, TX ( Onsite ) Position : ( C2C Role ) Duration : ( 6+ Months) Pay Range : $50 - 65/Hr Skills: AI, GCP Cloud, .NET, CI/CD, Python. * Design and implement Generative AI ...

Tanisha Systems, Inc.

AI Architect

East Brunswick, NJ · On-site

$62.75 - $82.50/hr

Architect Generative AI platforms including: * Large Language Models (LLMs) * Retrieval Augmented ... Drive adoption of AI across enterprise functions (e.g., HR, Finance, Tax, Insurance, Operations)

Strivector Corp

AI Platform Engineer

Manhattan, NY · On-site

... reusable Generative AI platform services and frameworks. • Design and implement Kubernetes ... Operations, Sales, Quality, HR, and Finance positions. Founded in 2011, the company is ...

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.

Cornerstone OnDemand

Senior AI Engineer

Dublin, CA · On-site

$117K - $161K/yr

Build and productionize ML and Generative AI workflows , including prompt engineering, retrieval ... Background in enterprise SaaS or workforce/HR technology. * Experience taking AI products from ...

Cornerstone

Senior AI Engineer

Dublin, CA · On-site

$117K - $161K/yr

Build and productionize ML and Generative AI workflows , including prompt engineering, retrieval ... Background in enterprise SaaS or workforce/HR technology. * Experience taking AI products from ...

Eliassen Group

Senior AI Engineer

Almont, CO · On-site

$80 - $90/hr

... hr. w2 Responsibilities: * Design and develop AI-driven applications and services to enhance claims processing and decision-making. * Build and integrate solutions using Generative AI, LLMs, and ...

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Generative Ai Hr information

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How much do generative ai hr jobs pay per hour?

As of Jul 7, 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 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $63,109 per year, or $30.3 per hour.
Software Engineer, AI Applications

Software Engineer, AI Applications

Ztek Consulting INC

San Francisco, CA • On-site

Contractor

Posted yesterday

Job description

Title : Senior Software Engineer, AI - HR, Talent & Recruiting

Location: Remote

Type of Hire : Contract

What You'll Do:

  • Partner with HR, Talent & Recruiting to understand workflows, identify pain points, and uncover opportunities for AI automation.
  • Translate complex business challenges into actionable AI use cases
  • Apply advanced GenAI techniques, including LLMs and Agentic AI, to rapidly design and iterate on functional prototypes (AI agents, custom copilots, intelligent workflows).
  • Write high-quality, well-tested code in Python, Golang, Node.js, React, and TypeScript
  • Collaborate cross-functionally to evolve prototypes into scalable, secure, production-grade AI solutions aligned with organizational goals
  • Provide guidance on AI capabilities, responsible AI usage, prompt engineering, and strategic AI integration.
  • Mentor team members on design principles and AI tools adoption
  • Pilot AI solutions with Business Stakeholders and Product Managers, gather feedback, iterate, and support adoption to ensure demonstrable value
  • Partner with AI Platform and DevX teams to leverage existing infrastructure and ensure scalability and security
  • Work with Security, Legal, and Compliance to ensure solutions adhere to security, privacy, and ethical guidelines
  • Define success metrics, track ROI, and communicate value delivered to stakeholders
  • Research and experiment with emerging AI models, tools, and best practices

What We're Looking For:

  • 5+ years of software engineering experience, with at least 6 months focused on applied AI, Generative AI, or intelligent automation

Software Engineering Skills:

  • Proven expertise in designing, building, scaling, and maintaining production services with strong understanding of microservices architecture
  • Strong system design, coding, and debugging skills to enhance reliability and scalability
  • Proficiency in at least one backend language (Golang preferred), frontend frameworks (React, TypeScript), and workflow engines (Temporal).
  • Familiarity with REST/gRPC APIs, queues, and event-driven patterns

AI & Automation Skills:

  • Understanding of LLM capabilities, limitations, and architectures (RAG, agents, fine-tuning)
  • Hands-on experience with AI platforms (Gemini/Claude, agent frameworks like LangChain/LangGraph, Python)
  • Ability to responsibly use generative AI tools with human-in-the-loop practices to deliver business-ready outputs
  • Analytical problem-solver comfortable with ambiguity and rapid iteration
  • Cross-functional collaboration experience with engineering and non-engineering teams
  • Strong understanding of data privacy, security, and ethical considerations related to AI

Nice to Haves:

  • Experience building AI agents or advanced workflow automation solutions
  • Experience building production ML/AI systems
  • Experience with HR systems (Greenhouse, Workday)