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Generative Ai Salary Jobs (NOW HIRING)

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

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 design and implement cutting-edge AI ...

Generative AI Engineer Location : Warren ,MI Duration: Fulltime Programming: Expert-level ... Current Rate/Salary: Expected Base Salary: Notice Period/Availability to Start: Skype ID:

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... A final decision on the successful candidate's starting salary will be based on a number of ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Publication record in machine learning, computer vision, or generative modeling The US base salary ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Publication record in machine learning, computer vision, or generative modeling The US base salary ...

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

... Generative AI. • Drive discovery sprints and AI ideation efforts • Stay abreast of broad AI ... Full stack developer, Strong azure & cloud knowledge and Built applications using AI Salary Range ...

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Generative Ai Salary information

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$30K

$113.1K

$164.5K

How much do generative ai salary jobs pay per year?

As of Jul 26, 2026, the average yearly pay for generative ai salary in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in generative AI roles?

Professionals in generative AI roles often encounter challenges such as staying current with rapidly evolving technologies and research, managing large and complex datasets, and ensuring that generated outputs are both ethical and high-quality. Additionally, effective collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is crucial to successfully integrate generative models into real-world applications. These roles require continuous learning and adaptability to address new technical and ethical considerations as the field progresses.

What are the key skills and qualifications needed to thrive as a Generative AI Engineer, and why are they important?

To thrive as a Generative AI Engineer, you need a strong background in machine learning, deep learning, and programming (especially Python), often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow, PyTorch, and experience using cloud computing platforms are typically required, along with knowledge of generative models such as GANs and transformers. Creative problem-solving, collaboration, and effective communication are key soft skills that set top performers apart in this role. These skills ensure engineers can design innovative AI models, work seamlessly in teams, and drive successful AI solutions from concept to deployment.

What is the average salary for a Generative AI professional?

The average salary for a professional working in Generative AI varies depending on experience, role, and location. In the United States, entry-level positions typically start around $120,000 per year, while experienced engineers and researchers can earn between $180,000 and $300,000 or more, especially at leading tech companies. Factors such as educational background, specialization in areas like natural language processing or computer vision, and industry demand can significantly influence compensation. Additionally, many roles offer bonuses, stock options, or other benefits that add to total compensation.

What's the average salary for Generative AI jobs?

The average salary for Generative AI roles varies depending on experience, location, and company size, but typically ranges from $100,000 to $150,000 annually for mid-level positions. Senior roles or specialized positions with advanced skills in machine learning, deep learning, and relevant tools can earn upwards of $200,000 or more. Many of these jobs require expertise in programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch.

What is the difference between Generative Ai Salary vs Machine Learning Engineer Salary?

AspectGenerative Ai SalaryMachine Learning Engineer Salary
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI modelsDegree in Computer Science, Data Science, or related fields; programming skills
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, and other industries
Industry UsageDeveloping AI models like chatbots, image generatorsBuilding predictive models, data analysis, system deployment

Generative AI specialists focus on creating models that generate content, while Machine Learning Engineers develop algorithms for predictive analytics. Both roles require strong technical skills and often overlap in AI projects, but their core responsibilities differ. Salary ranges vary based on experience, location, and industry demand.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, natural language processing, and leadership, and may include stock options or bonuses that contribute to the total compensation package.

What engineer makes $500,000 a year?

Senior AI engineers, especially those specializing in generative AI and working at top tech companies or in high-demand industries, can earn salaries approaching or exceeding $500,000 annually. These roles often require advanced skills in machine learning, deep learning, and experience with large language models, along with strong industry expertise and sometimes stock options or bonuses.

Is Generative AI a good career?

Generative AI is a growing field with increasing demand for professionals skilled in machine learning, deep learning, and neural networks. Careers in this area often require knowledge of programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch. The field offers opportunities in research, development, and deployment across various industries, making it a promising career choice for those with relevant technical skills.
More about Generative Ai Salary jobs
What cities are hiring for Generative Ai Salary jobs? Cities with the most Generative Ai Salary job openings:
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What job categories do people searching Generative Ai Salary jobs look for? The top searched job categories for Generative Ai Salary jobs are:
Infographic showing various Generative Ai Salary job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Sr. Generative AI Developer

Sr. Generative AI Developer

Tanisha Systems

Dallas, TX • On-site

$120K - $161K/yr

Other

Posted 7 days ago


Job description

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 design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming , FastAPI , and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design , scalable APIs, and end-to-end AI solution development. Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance. Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases. Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP). Conduct performance tuning and optimization of AI models and APIs. Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies . Required Skills & Qualifications 8+ years of professional experience in software development and system design. Strong proficiency in Python and experience with FastAPI for API development. Hands-on experience with Generative AI frameworks and RAG architectures . Solid understanding of system and architecture design principles for distributed applications. Experience deploying solutions on any major cloud platform (AWS, Azure, GCP). Familiarity with vector databases , embedding models , and retrieval pipelines . Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with LLM fine-tuning , prompt engineering , and model evaluation . Knowledge of containerization (Docker) and orchestration (Kubernetes) . Exposure to CI/CD pipelines and DevOps practices .