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Generative Ai Jobs (NOW HIRING)

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill Metrics: Claude Microsoft GitHub Copilot PyTorch What are the top skills required for this role? 1. Hands ...

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $170K/yr

Generative AI Engineer Location: Remote (U.S.) Salary Range: $120k to $170k About the Role We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade ...

Generative AI Architect Location: Allentown PA(Remote) Generative AI Architect The Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that ...

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to ...

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

* Lead Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive compensation package Are you an experienced software developer passionate about Generative AI ...

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

The Generative AI Platform Product team is building a scalable, next-generation platform that enables teams across the organization to develop, deploy, and govern generative AI-powered products. The ...

Genesis10 is currently seeking a Generative AI Engineer for a Regional Financial Institution located in Green Bay, WI. This expert-level role focuses on building production-grade Generative AI ...

WHO YOU'LL WORK WITH Nike's Design Generative Studio is pioneering the future of footwear design at the intersection of creativity and AI technology. You'll partner with world-class designers and ...

Role: Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop ...

The Generative AI Platform Product team is building a scalable, next-generation platform that enables teams across the organization to develop, deploy, and govern generative AI-powered products. The ...

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Generative Ai information

What is a Generative AI job?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What are generative AI jobs?

Generative AI jobs involve developing and deploying artificial intelligence systems that create content such as text, images, or audio. These roles typically require skills in machine learning, deep learning frameworks, and programming languages like Python, often involving tasks like model training, data preparation, and algorithm optimization.

What are the primary responsibilities of a Generative AI Specialist on a typical team?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

What are the key skills and qualifications needed to thrive in the Generative Ai position, and why are they important?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

What jobs or careers use generative AI?

Generative AI is used in roles such as AI researchers, machine learning engineers, data scientists, and AI product developers. These jobs involve designing, training, and deploying AI models that generate content, images, or text, often requiring skills in programming, deep learning frameworks, and data analysis.

Is GenAI a good career?

A career in Generative AI involves developing and applying AI models that create content, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with increasing demand for AI expertise across industries, offering opportunities in research, development, and deployment. Continuous learning and familiarity with tools like neural networks and deep learning frameworks are important for success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What cities are hiring for Generative Ai jobs? Cities with the most Generative Ai job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Generative Ai jobs? States with the most job openings for Generative Ai jobs include:
Infographic showing various Generative Ai job openings in the United States as of June 2026, with employment types broken down into 52% Full Time, 4% Temporary, and 44% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Generative AI Architect

Saransh Inc

Charlotte, NC • On-site

$61.50 - $81/hr

Contractor

Posted 23 days ago


Job description

Job Title: Generative AI Architect
Location: Charlotte, NC (Onsite from Day 1)
Job Type: Contract

 
Skill Metrics:
 
Claude
Microsoft GitHub Copilot
PyTorch
 
 
What are the top skills required for this role?
1. Hands on experience of driving gen AI solution using Copilot, Claude Code etc in the STLC
2. Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
3. Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle

Job Description/ Responsibilities:
  • Seeking a visionary and experienced Senior Generative AI Architect to lead the design, development, and implementation of generative AI solutions across software test lifecycle.
  • The selected candidate will define the strategic roadmap for GenAI, evaluate and select appropriate architectures, and ensure the scalability, security, and performance of deployed models.
  • This is a highly collaborative role that bridges client needs, R&D innovation, and enterprise-grade AI engineering.

Key Responsibilities:
• GenAI solution in STLC
o Build/Test Solution to create test automation code for UI/API through GenAI assisted coding
o Build/Test solution for test data mining using Generative AI
• Architecture & Design
o Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
o Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle
• Strategy & Roadmap
o Define GenAI adoption roadmap in alignment with client goals
o Evaluate build-vs-buy decisions and advise on vendor/platform selections
o Advocate for responsible AI practices and model governance frameworks
• Collaboration & Leadership
o Collaborate with data scientists, ML engineers, product managers, and key stakeholders
o Mentor teams in GenAI best practices, including model optimization, deployment, and safety measures
• Innovation & Experimentation
o Stay ahead of the curve on advancements in transformer architectures, LLM training, and multimodal AI.
o Prototype custom models using frameworks like LangChain, PyTorch, etc.