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Generative Ai Certification Jobs (NOW HIRING)

Lead AI Engineer

Columbus, OH · Remote

$104K - $138K/yr

Google Cloud AI Certifications * AWS AI Certifications * Microsoft AI / Azure Certifications ... Generative AI, Agentic AI, Conversational AI, Google Dialogflow CX, CX Agent Studio, Google CCAI ...

New

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Job#: 3041191 Generative AI Context Engineer Location: Plano, Texas (Hybrid) Role Overview We are ... We offer quality career resources, training, certifications, development opportunities, and a ...

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

LLM & Generative AI Development * Agent-Based Systems * Retrieval-Augmented Systems (RAG ... Not mandatory (AWS / ML / AI certifications are good to have)

AI Quality Engineer

Merrifield, VA · On-site

$71K - $92K/yr

The successful candidate will serve as an independent reviewer and certification authority ... with Generative AI, Large Language Models (LLMs), RAG architectures, AI agents, or AI-powered ...

Showing results 21-40

Generative Ai Certification information

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How much do generative ai certification jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for generative ai certification in the United States is $20.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $26.68 per hour, depending on experience, location, and employer.

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

AspectGenerative Ai CertificationData Scientist
Required credentialsCertification programs, online coursesDegree in data science, statistics, or related fields
Work environmentTraining, project-based, AI-focused teamsResearch, analysis, data modeling in various industries
Employer usageTech companies, AI startups, training providersTech firms, finance, healthcare, consulting
Search intentLearning AI generative models, certification programsAnalyzing data, building models, insights

Generative Ai Certification focuses on training individuals in AI generative models through courses and certifications, often for skill validation. Data Scientists typically hold degrees and perform data analysis, modeling, and insights across industries. While both roles involve AI and data, certifications are more about skill validation, whereas data scientists are involved in comprehensive data analysis and modeling tasks.

What is a generative AI certification?

A Generative AI Certification is a credential that demonstrates your knowledge and skills in developing, deploying, and understanding generative artificial intelligence models, such as those used for creating text, images, audio, or video. These certifications typically cover foundational AI concepts, deep learning, neural networks, and hands-on experience with tools like GPT, DALL-E, or similar models. Earning a certification can enhance your credibility and job prospects in AI-related fields, proving your ability to work with cutting-edge generative technologies.

What are some common challenges professionals face when applying generative AI techniques in real-world projects?

Professionals working with generative AI often encounter challenges such as ensuring data quality, managing computational resource demands, and aligning model outputs with business objectives. Successfully deploying generative models requires close collaboration with data engineers, domain experts, and stakeholders to address ethical considerations and ensure outputs are both accurate and useful. Additionally, adapting quickly to the fast-evolving landscape of generative AI tools and frameworks is crucial for staying effective and competitive in the field.

What are the key skills and qualifications needed to thrive as a generative AI specialist, and why are they important?

To thrive as a Generative AI Specialist, you need a solid background in computer science, machine learning, and deep learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in tools like TensorFlow, PyTorch, and experience with generative models such as GANs or transformers, as well as certifications in AI, are typically required. Strong problem-solving, creativity, and effective communication skills help distinguish top performers in this field. These skills are essential for developing innovative AI solutions, collaborating with cross-functional teams, and addressing complex challenges in generative AI applications.
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Infographic showing various Generative Ai Certification job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 4% Part Time, 9% Temporary, and 17% Contract. Highlights an 74% In-person, 9% Hybrid, and 17% Remote job distribution, with an average salary of $42,965 per year, or $20.7 per hour.

Lead AI Engineer

S R INTERNATIONAL INC

Columbus, OH • Remote

$104K - $138K/yr

Full-time

Posted 3 days ago

New


Job description

Job Title: Lead AI Engineer
Job Code: OH 808940
Client: State of Ohio – JFS
Location: Remote (Ohio)
Duration: Long-term Contract
Interview: Microsoft Teams
Position Overview
The State of Ohio is seeking an experienced Lead AI Engineer to lead the design, development, and implementation of enterprise AI and Generative AI solutions across Google Cloud, AWS, and Microsoft ecosystems. The ideal candidate will have strong expertise in conversational AI, Agentic AI, NLP, LLMs, AI APIs, and cloud-native AI services while mentoring development teams and driving enterprise AI initiatives.
Required Skills
  •  Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred) 
  • 6+ years of IT experience with 4+ years in AI Conversational Agents and Generative AI
  • 2+ years of experience developing: 
    •  Google Conversational Agents 
    •  CX Agent Studio 
    •  Dialogflow CX 
    •  Google CCAI Services 
  • 2+ years of experience building Enterprise Looker Dashboards for AI agent monitoring 
  • 2+ years of experience with AWS AI services: 
    •  AWS Bedrock 
    •  AWS Transcribe 
    •  AWS Comprehend 
    •  AWS Lambda 
    •  AWS Step Functions 
  •  Strong experience with: 
    •  Microsoft Foundry 
    •  Azure AI Search 
    •  Azure AI Language Services 
    •  Microsoft Copilot Studio 
    •  Power Platform 
  •  Experience designing and deploying: 
    •  Conversational AI 
    •  Agentic AI 
    •  Virtual Assistants 
    •  NLP & LLM-based solutions 
  •  Strong programming skills in: 
    •  Python 
    •  C# 
    •  .NET 
    •  JavaScript 
  •  Experience developing APIs and integrating enterprise systems 
  •  Experience training, deploying, and monitoring AI models 
  •  Strong communication, leadership, and technical mentoring skills 
Preferred Skills
  •  Google Cloud AI Certifications 
  •  AWS AI Certifications 
  •  Microsoft AI / Azure Certifications 
  •  SharePoint Online and Microsoft Power Platform experience 
  •  Experience leading AI Proof of Concepts (POCs) 
  •  Enterprise AI governance and security experience 
Key Responsibilities
  •  Design and develop enterprise Agentic AI and Conversational AI solutions 
  •  Build AI applications integrating Google, AWS, and Microsoft AI services 
  •  Develop secure APIs and AI integrations 
  •  Design conversational flows and virtual assistants 
  •  Train, deploy, and optimize AI models 
  •  Create AI monitoring dashboards using Looker 
  •  Mentor AI engineers and conduct design/code reviews 
  •  Lead AI proof-of-concept initiatives using emerging technologies 
  •  Collaborate with business stakeholders, architects, and cross-functional teams 
  •  Ensure AI solutions comply with security, governance, and privacy standards 
Primary Skills
Generative AI, Agentic AI, Conversational AI, Google Dialogflow CX, CX Agent Studio, Google CCAI, AWS Bedrock, AWS Transcribe, AWS Comprehend, AWS Lambda, AWS Step Functions, Microsoft Foundry, Azure AI Search, Azure AI Language Services, Microsoft Copilot Studio, Looker Dashboards, NLP, LLMs, Python, C#, .NET, JavaScript, REST APIs, AI Model Deployment, Enterprise AI, Google Cloud, AWS, Azure

This is a remote position.