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Generative Ai Salary Jobs (NOW HIRING)

Prosum Inc.

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

Remote (U.S.) Salary Range: $120k to $165k About the Role We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade AI systems. This role is ...

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 ...

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 ...

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

$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 ...

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 ...

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 ...

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 ...

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All JobsGenerative Ai Salary Jobs

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 Aug 9, 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.

Generative AI Engineer

Prosum Inc.

Fort Worth, TX • On-site

$120K - $165K/yr

Other

Re-posted 15 days ago

Job description

Job Description
Generative AI Engineer
Location: Remote (U.S.)
Salary Range: $120k to $165k
About the Role
We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade AI systems. This role is responsible for designing, building, deploying, and continuously optimizing scalable generative AI solutions that integrate seamlessly with enterprise systems. You will act as a technical authority, shaping best practices and driving innovation across AI initiatives.
What You'll Do
  • Own the full lifecycle of generative AI systems, from architecture and development to deployment, monitoring, and optimization
  • Design and build LLM-powered applications, including agent-based workflows, multi-step RAG pipelines, and enterprise AI solutions
  • Establish and enforce engineering standards across prompt design, orchestration, structured outputs, and workflow lifecycle management
  • Serve as a technical leader for GenAI, guiding architecture decisions and best practices
  • Integrate AI systems with enterprise data, internal APIs, and cloud-native services
  • Evaluate and select models, implement routing strategies, and optimize for latency, cost, and performance
  • Continuously assess emerging AI tools and improve existing systems
  • Own system performance across reliability, scalability, throughput, and cost efficiency
  • Build and maintain observability frameworks (monitoring, tracing, logging, alerting)
  • Design and manage CI/CD pipelines, including versioning and release processes
  • Lead incident response and root cause analysis, implementing long-term fixes
  • Develop evaluation pipelines for LLM outputs, including regression testing and failure analysis
  • Implement safeguards such as human-in-the-loop workflows, schema validation, and output controls
  • Ensure systems are secure against prompt injection, data leakage, and unauthorized access
  • Collaborate with leadership and cross-functional teams to define and execute AI initiatives
  • Provide hands-on technical guidance, mentoring, and code reviews
  • Promote iterative delivery with frequent releases and continuous feedback loops
Required Qualifications
  • Proven experience building and deploying production-grade LLM or generative AI systems
  • Strong expertise in prompt design, orchestration, and model tradeoffs
  • Experience developing evaluation frameworks for AI outputs and validating quality
  • Solid background in distributed systems and production software engineering
  • Experience with CI/CD pipelines, release management, and operational ownership
  • Demonstrated ability to define technical standards and influence architecture decisions
  • Experience with cloud-native systems, APIs, and event-driven architectures (Azure or similar)
  • Experience integrating AI solutions with enterprise data and security requirements
  • Bachelor's degree in a technical field or equivalent practical experience
Preferred Qualifications
  • Experience with advanced RAG pipelines and agent-based AI systems in production
  • Familiarity with cloud AI services and modern infrastructure tooling
  • Experience with Python-based AI frameworks and data pipelines
  • Experience with containerization and deploying AI workloads
  • Knowledge of responsible AI practices and governance
  • Domain experience in areas such as product data, ERP, ecommerce, or analytics platforms

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