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Entry Level Generative Ai Certification Jobs (NOW HIRING)

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract ... We offer quality career resources, training, certifications, development opportunities, and a ...

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 ...

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 ...

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 ...

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 ...

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Entry Level Generative Ai Certification information

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How much do entry level generative ai certification jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level generative ai certification in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

What is the best entry level generative AI certification?

The best entry-level generative AI certification is often offered by platforms like Coursera, edX, or industry providers such as Microsoft and Google, focusing on foundational AI and machine learning skills. Certifications like the Microsoft Certified: Azure AI Fundamentals or Google Cloud Professional Machine Learning Engineer provide a solid starting point for those new to generative AI. These programs typically require basic programming knowledge and familiarity with AI concepts.

What jobs can you get with an entry level generative AI certification?

An entry-level generative AI certification can qualify you for roles such as AI assistant developer, data analyst, machine learning technician, or AI content creator. These positions often involve working with AI tools, programming languages like Python, and understanding machine learning concepts to support AI development and deployment.

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 Entry Level Generative Ai Certification jobs?

States with the most job openings for Entry Level Generative Ai Certification jobs include:

Generative AI Researcher

Tata Consultancy Services

Warren, MI • On-site

Full-time

Re-posted 18 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 226 rated it services


Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D


What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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