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Assistant Generative Ai Certification Jobs (NOW HIRING)

Centillion Infotech

AI Lead (Generative AI)

Tampa, FL · On-site

$127K - $156K/yr

Design and implement solutions leveraging LLMs and Generative AI . * Assist with deployment, monitoring, maintenance, and optimization of AI models in production environments. * Collaborate with Data ...

Apex Systems

Generative AI Engineer

Jersey City, NJ · On-site

Job#: 3049135 Generative AI Engineer Location: Jersey City, New Jersey (Onsite) Role Overview You ... We offer quality career resources, training, certifications, development opportunities, and a ...

Hp

Senior ServiceNow Development Manager

Spring, TX · Remote

$48 - $66/hr

... Now Assist, generative AI, AI agents, and intelligent workflow automation across enterprise ... ServiceNow Certified System Administrator (CSA) required. * ServiceNow Certified Application ...

Sia

Generative AI Consultant

San Francisco, CA · On-site

Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques. * Assist in Solution Architecture:

New

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 ...

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 ...

Apex Systems

Generative AI Developer

Pleasanton, CA · On-site

Role Overview An experienced Generative AI Developer is sought to design, build, and deploy ... Microsoft Azure certifications are preferred. * Agentic AI development and multi-agent ...

New

Study.com C

Generative AI Video Lesson Creator

Generative AI Video Lesson Creator Project Description Study.com is the leading educational website ... AI certificates or an AI-assisted work portfolio * Prior experience mentoring, leading internal ...

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Assistant Generative Ai Certification information

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.

What are the key skills and qualifications needed to thrive as an assistant generative AI certification?

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 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.

Is assistant generative AI certification worth it?

Assistant generative AI certification can enhance skills in AI tools and models, making candidates more competitive for roles involving AI development and deployment. It demonstrates knowledge of generative models like GPT and relevant programming skills, which are increasingly valued in AI-related jobs.

What jobs can you get with an Assistant Generative Ai Certification?

An Assistant Generative AI Certification can qualify individuals for roles such as AI content creator, machine learning assistant, data analyst, or AI support specialist. These roles often involve working with AI tools, natural language processing, and machine learning frameworks in technology or research environments.
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Assistant Generative Ai Certification jobs near you
Infographic showing various Assistant Generative Ai Certification job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 18% Part Time, and 7% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI Lead (Generative AI)

Centillion Infotech

Tampa, FL • On-site

$127K - $156K/yr

Other

Posted 10 days ago

Job description

AI Lead Generative AI

Location: Irving, TX or Tampa, FL
Work Arrangement: Onsite
Job Type: Contract

Job Overview

We are seeking an experienced AI Lead Generative AI to join our team and contribute to the development, integration, and deployment of innovative Generative AI solutions.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Multi-Agent systems, Python, AI workflow orchestration, and production AI deployments. This role requires someone who can collaborate effectively with Data Scientists and Engineers while contributing to reliable, scalable, and responsible AI applications.

Key Responsibilities

  • Contribute to prompt engineering and development of AI-powered workflows.

  • Design and implement solutions leveraging LLMs and Generative AI.

  • Assist with deployment, monitoring, maintenance, and optimization of AI models in production environments.

  • Collaborate with Data Scientists, Software Engineers, and other technical teams to integrate AI capabilities into applications.

  • Develop data preprocessing and feature engineering pipelines for AI applications.

  • Develop and integrate APIs supporting Generative AI solutions.

  • Contribute to RAG-based applications, including retrieval and search workflows.

  • Participate in the development and integration of Multi-Agent and Agentic AI systems.

  • Apply workflow orchestration techniques to automate AI-powered processes.

  • Participate in code reviews, testing, debugging, and technical documentation.

  • Follow software engineering best practices using Git and version control.

  • Support containerized AI applications using Docker.

  • Stay current with advancements in Generative AI, LLMs, RAG, Agentic AI, and AI/ML technologies.

  • Share technical knowledge and relevant industry developments with the team.

  • Follow responsible AI, data privacy, security, and compliance principles.

Required Technical Skills

  • Hands-on experience with Generative AI and Large Language Models (LLMs).

  • Strong understanding of Prompt Engineering.

  • Experience or exposure to Retrieval-Augmented Generation (RAG).

  • Basic understanding of Hybrid Search, Vector Search, and Semantic Search.

  • Exposure to Multi-Agent Systems / Agentic AI / AI Agents.

  • Strong proficiency in Python for AI development, scripting, and data preprocessing.

  • Understanding of AI workflow orchestration.

  • Experience or exposure to AI model deployment and production environments.

  • Understanding of Docker and containerization.

  • Experience with API development and integration.

  • Experience with or exposure to LangChain, LlamaIndex, and/or Hugging Face is preferred.

  • Understanding of Git and version control systems.

  • Awareness of AI compliance, data privacy, security, and responsible AI principles.

  • Hands-on experience with at least one major machine learning framework such as PyTorch, TensorFlow, or Keras is advantageous.

Preferred Experience

Candidates with experience in the following areas will be highly valued:

  • Enterprise Generative AI applications

  • LLM-powered applications

  • RAG pipelines and knowledge-based AI systems

  • Vector and hybrid search

  • Agentic AI and Multi-Agent architectures

  • AI workflow automation and orchestration

  • Production deployment of AI/ML applications

  • Python-based AI application development

  • LangChain, LlamaIndex, or Hugging Face

  • Docker-based AI deployments

  • API integration for AI applications

Soft Skills

  • Strong analytical and problem-solving abilities.

  • Excellent communication and collaboration skills.

  • Ability to work effectively with Data Scientists and Engineering teams.

  • Strong attention to detail.

  • Willingness to learn new AI/ML technologies and frameworks.

  • Open to feedback and continuous improvement.

  • Ability to work effectively in an onsite environment.

Work Location : Irving, TX OR Tampa, FL Onsite Employment Type : Contract How to Apply

Interested candidates can share their updated resume and contact information for consideration.

Email:

Subject: AI Lead Generative AI

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