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Generative Ai Certification Jobs (NOW HIRING)

Aroha Technologies

Generative AI Engineer

Dallas, TX · Hybrid

Databricks Generative AI Engineer Certification * NVIDIA Deep Learning Institute (DLI) Certifications * OpenAI / LLM / Prompt Engineering certifications (any recognized program) (Certifications ...

New

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

Generative AI Specialist / AI & ML Developer Location: Remote About the Role * Peraton is seeking ... Relevant cloud/AI certifications (AWS, Azure, Google, DeepLearning.AI). Key Technologies ...

New

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI ... Certifications in Azure or AI-related fields. * Experience with large language models (LLMs) and ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level ...

Hearst

Senior Engineer, Generative AI

New York, NY

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... certifications, and education. Hearst provides a competitive benefits package, including medical ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level ...

Cotiviti

$32 - $40/hr

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 ...

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

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 ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

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 ...

Cotiviti

$32 - $40/hr

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 ...

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Generative Ai Certification information

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How much do generative ai certification jobs pay per hour?

As of Jun 12, 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.
What cities are hiring for Generative Ai Certification jobs? Cities with the most Generative Ai Certification job openings:
What are the most commonly searched types of Generative Ai Certification jobs? The most popular types of Generative Ai Certification jobs are:
What states have the most Generative Ai Certification jobs? States with the most job openings for Generative Ai Certification jobs include:
What job categories do people searching Generative Ai Certification jobs look for? The top searched job categories for Generative Ai Certification jobs are:
Generative Ai Certification jobs near you
Infographic showing various Generative Ai Certification job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 24% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,965 per year, or $20.7 per hour.
Generative AI Engineer

Generative AI Engineer

Aroha Technologies

Dallas, TX • Hybrid

Other

Posted yesterday

Job description

Job Title: Generative AI Engineer
Location: Dallas, TX (Onsite 5 days/week)
Employment Type: Contract
Role Overview
We are seeking a skilled Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions using LLMs, RAG pipelines, and agentic AI systems. The ideal candidate will have hands-on experience with modern GenAI frameworks, cloud platforms, and strong software engineering fundamentals.
Key Responsibilities
  • Design and develop Generative AI applications using LLMs (OpenAI, Gemini, Claude, Llama, etc.)
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating enterprise data
  • Develop AI agents / agentic systems for autonomous workflows and decision-making
  • Implement prompt engineering, embeddings, and vector search solutions
  • Build scalable APIs and microservices for AI-powered applications
  • Integrate AI models with enterprise systems (databases, APIs, data lakes)
  • Deploy solutions on AWS / Azure / Google Cloud Platform with CI/CD pipelines
  • Implement LLMOps/MLOps practices including monitoring, evaluation, and versioning
  • Ensure AI safety, governance, and hallucination mitigation
  • Collaborate with stakeholders to translate business requirements into AI solutions
Required Skills
  • Strong programming experience in Python (mandatory)
  • Hands-on experience with:
    • LangChain / LlamaIndex / Agent frameworks
    • Vector DBs (Pinecone, FAISS, Weaviate, ChromaDB)
    • RAG & embeddings
  • Knowledge of LLMs, NLP, and transformer models
  • Experience with Docker, APIs, and microservices architecture
  • Cloud experience: AWS / Azure / Google Cloud Platform
  • Understanding of MLOps / LLMOps (CI/CD, monitoring, evaluation)
Preferred Qualifications
  • Experience building production-grade GenAI or agentic systems
  • Knowledge of GraphRAG, knowledge graphs, ontology extraction
  • Exposure to Databricks / MLflow / Spark
  • Experience in fine-tuning LLMs or model optimization
Education
  • Bachelor's or Master's degree in Computer Science, AI, ML, or related field
Mandatory / Preferred Certifications (AI-Focused)
Include at least 1 2 of the following:
  • Google Cloud Professional Machine Learning Engineer
  • Microsoft Azure AI Engineer Associate
  • AWS Machine Learning Specialty
  • Databricks Generative AI Engineer Certification
  • NVIDIA Deep Learning Institute (DLI) Certifications
  • OpenAI / LLM / Prompt Engineering certifications (any recognized program)
(Certifications significantly strengthen candidacy for enterprise AI roles.)
Experience
  • 5+ years in software engineering / AI/ML
  • 2+ years in Generative AI / LLM-based solutions
Nice to Have
  • Experience with agentic AI / multi-agent systems
  • Strong understanding of AI governance & responsible AI
  • Prior experience working in onsite enterprise environments

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