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Assistant 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 ...

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 ...

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 ...

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

... assistants, and more. This is a unique opportunity to join the front-line effort to accelerate ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

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

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

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 ...

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All JobsAssistant Generative Ai Certification Jobs

Assistant Generative Ai Certification information

Is Generative AI certification worth it?

Generative AI certification for roles like Assistant Generative AI Certification can validate skills in AI model development, data handling, and machine learning tools, potentially enhancing job prospects. It demonstrates technical competence and may lead to higher earning potential, but its value depends on industry demand and individual experience. Practical experience and continuous learning are also important for success in AI-related jobs.

What are some common challenges faced by an Assistant Generative AI Certification professional, and how can they be addressed?

As an Assistant Generative AI Certification professional, you may encounter challenges such as staying updated with rapidly evolving AI technologies, interpreting complex certification standards, and effectively communicating technical requirements to learners. Addressing these challenges involves continuous learning, collaborating closely with AI engineers and educators, and utilizing up-to-date resources and training materials. Developing strong project management and communication skills will help you bridge gaps between technical teams and certification participants, ensuring a smooth certification process.

What is the difference between Assistant Generative Ai Certification vs Data Analyst Certification?

AspectAssistant Generative Ai CertificationData Analyst Certification
Required CredentialsRelevant AI and machine learning courses, certifications in generative AI toolsStatistics, data analysis, SQL, Excel certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed to validate skills in AI development and deploymentUsed to analyze data, generate reports, support decision-making

The Assistant Generative Ai Certification focuses on skills related to AI and generative models, often in tech-driven environments. In contrast, Data Analyst Certification emphasizes data analysis skills applicable across various industries. Both certifications validate technical expertise but serve different roles within organizations.

What are the key skills and qualifications needed to thrive as an Assistant in Generative AI Certification, and why are they important?

To excel as an Assistant in Generative AI Certification, you need a solid understanding of AI concepts, machine learning fundamentals, and experience in educational support or certification processes, often backed by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, online learning platforms, and Learning Management Systems (LMS) is typically required. Strong communication, organizational skills, and attention to detail help you effectively support learners and facilitate smooth certification operations. These skills are crucial for ensuring accurate guidance, efficient program administration, and positive learner outcomes in a technical and evolving field.

What jobs can you get with a Generative AI certification?

A Generative AI certification can qualify you for roles such as AI/ML engineer, data scientist, NLP specialist, or AI developer, where skills in machine learning models, programming, and AI tools are essential. These positions often involve developing, deploying, and optimizing AI systems in various industries like technology, healthcare, and finance.

Which 3 jobs will survive AI?

Assistant Generative AI Certification prepares professionals to work alongside AI technologies, which are expected to augment roles rather than replace them. Jobs that require complex problem-solving, emotional intelligence, and creative thinking—such as healthcare providers, educators, and skilled tradespeople—are likely to persist despite AI advancements. Continuous learning and certification in AI tools can help these roles adapt to technological changes.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and specialized certifications. These positions usually involve leadership, strategic planning, and cutting-edge AI development in large organizations or tech companies.

What is an Assistant Generative AI Certification?

An Assistant Generative AI Certification is a credential that demonstrates foundational knowledge and skills in working with generative artificial intelligence tools and technologies. This certification is designed for individuals seeking to validate their understanding of basic AI concepts, prompt engineering, ethical considerations, and the practical applications of generative AI in various fields. Earning this certification can help entry-level professionals or students showcase their proficiency and readiness to assist in AI-related projects or roles. It typically covers topics such as language models, image generation, and responsible AI use.
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What job categories do people searching Assistant Generative Ai Certification jobs look for? The top searched job categories for Assistant Generative Ai Certification jobs are:
Assistant Generative Ai Certification jobs near you
Infographic showing various Assistant Generative Ai Certification job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Generative AI Engineer

Generative AI Engineer

Aroha Technologies

Dallas, TX • Hybrid

Other

Posted 4 days ago

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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