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Generative Ai Salary Jobs (NOW HIRING)

Tanisha Systems

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 ...

Stackruit Ltd.

Generative AI Engineer

Dallas, TX · On-site

$100 - $130/hr

Work on various project phases, from ideation to deployment, across generative AI and traditional ... Competitive salary, benefits package, and training opportunities. * Be part of a team that values ...

New

Cognizant

NY · On-site

$112 - $131.50/hr

Applied AI Engineer (Generative AI) We are seeking an Applied AI Engineer with experience in ... Salary and Other Compensation The annual salary for this position is between $112,000 - $131,500 ...

New

Iberdrola

Lead Architect - Generative AI

Orange, CT · On-site

$59.25 - $81/hr

In Office ,Boston MA, Orange CT The base salary range for this position is dependent upon experience and location, ranging from: $125,766 - $164,354 Job Summary The Lead Architect - Generative AI ...

Iberdrola

Lead Architect - Generative AI

Orange, CT · On-site

$59.25 - $81/hr

In Office , Orange CT The base salary range for this position is dependent upon experience and location, ranging from: $128,320 - $160,400 Job Summary The Lead Architect - Generative AI (Artificial ...

Iberdrola

Lead Architect - Generative AI

Orange, CT · On-site

$59.25 - $81/hr

In Office ,Orange CT The base salary range for this position is dependent upon experience and location, ranging from: $128,320 - $160,400 Job Summary The Lead Architect - Generative AI (Artificial ...

Hearst

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 ...

Cognizant

Generative AI Lead Engineer

Dallas, TX · On-site

$120 - $140/hr

About the role As a Generative AI Engineer , you will make an impact by designing and building ... Banking domain experience Compensation The annual salary for this position ranges from $120,000 to ...

New

Figure

Helix AI Engineer, Generative AI

San Jose, CA

$200K - $400K/yr

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 ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for ...

New

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

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 ...

Tata Consultancy Service Limited

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 ...

@Orchard

Senior Azure Generative AI Engineer

Dallas, TX · On-site

$95/hr

Senior Azure Generative AI Engineer Dallas TX @Orchard LLC is seeking a Senior Azure Generative AI ... The anticipated range for a base salary for this role is between $95-115K. There may be some ...

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All JobsGenerative Ai Salary Jobs

Generative Ai Salary information

See salary details

$30K

$113.1K

$164.5K

How much do generative ai salary jobs pay per year?

As of Aug 7, 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 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.

More about Generative Ai Salary jobs
What cities are hiring for Generative Ai Salary jobs? Cities with the most Generative Ai Salary job openings:
What states have the most Generative Ai Salary jobs? States with the most job openings for Generative Ai Salary jobs include:
What job categories do people searching Generative Ai Salary jobs look for? The top searched job categories for Generative Ai Salary jobs are:
Generative Ai Salary jobs near you
Infographic showing various Generative Ai Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Sr. Generative AI Developer

Tanisha Systems

Dallas, TX • On-site

$120K - $161K/yr

Other

Re-posted 19 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 .

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