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Senior Generative Ai Engineer Jobs (NOW HIRING)

Tanisha Systems

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 ...

Programmers.io

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 ...

Scalence L.L.C.

Senior Generative AI Engineer

Austin, TX · On-site

$54.75 - $70.50/hr

C. is seeking a Senior Generative AI Engineer to join their Apple Content Solutions Team. The role involves developing and maintaining AI-driven automation solutions while leveraging large language ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

Brooksource

Sr. AI Engineer

Franklin, TN · On-site

$120 - $130/hr

Senior Generative AI Engineer Location: Remote Duration: 6-Month Contract Overview Our client is seeking a Senior Generative AI Engineer to lead the evaluation, design, and implementation of ...

Hearst

Senior Engineer, Generative AI

New York, NY

$114K - $157K/yr

We are seeking a dynamic and innovative Senior Generative AI Engineer to join our team, reporting directly to Hearst's Chief Product & AI Strategist. This role sits at the intersection of software ...

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

... engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC's across entire software lifecycle / Responsibilities: * Seeking a visionary and experienced Senior Generative AI ...

Droisys

Generative AI Engineer

Dallas, TX · On-site

Generative AI EngineerIntroduction: The Generative AI Engineer will be responsible for developing and implementing Generative AI solutions using various technologies such as LLMs, RAG, Prompt ...

XPath Solutions

Generative AI Engineer

Charlotte, NC

$60 - $72/hr

Generative AI Engineer Location Dallas, TX or Charlotte, NC or Raleigh, NC Role Overview We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and ...

NMK Global Inc.

Generative AI Engineer

Alpharetta, GA · On-site

Generative AI Engineer Location: Alpharetta, GA (Onsite/Hybrid) Job Type: Contract / Full-Time Experience: 6-8 Years We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI ...

New

National Debt Relief, LLC.

Senior Engineer, Applied AI

$150K - $173K/yr

As a Senior Applied AI Engineer, you will own the technical execution of GenAI initiatives - from ... Design, prototype, and deploy Generative AI solutions across NDR's client-facing and internal ...

MDAEdge

Generative AI Engineer

Austin, TX · On-site

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

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Senior Generative Ai Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior generative ai engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for senior generative ai engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior generative AI engineer or executive role, with compensation including salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, and experience with large language models or generative AI tools, and they are usually found in leading tech companies or AI-focused organizations.

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

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What is the salary of senior Generative AI developer?

The salary of a senior Generative AI engineer typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Professionals with expertise in deep learning frameworks and large language models may earn higher compensation, especially in competitive tech markets.

What does a Senior Generative AI Engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What engineer makes $500,000 a year?

Senior Generative AI engineers with extensive experience, advanced skills in machine learning, deep learning, and large language models can earn salaries approaching or exceeding $500,000 annually, especially in high-demand tech companies or competitive markets. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized expertise and impact on AI development projects.

What are some of the unique challenges Senior Generative AI Engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

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

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

Which 3 jobs will survive AI?

Senior Generative AI Engineers are likely to continue thriving as AI technology advances, focusing on developing and refining AI models. Other roles such as healthcare professionals and skilled tradespeople are also expected to remain in demand due to the need for human judgment, physical skills, and complex decision-making that AI cannot fully replicate. These jobs require specialized expertise, critical thinking, and adaptability that are less susceptible to automation.
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Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer 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 $126,557 per year, or $60.8 per hour.

Sr. Generative AI Developer

Tanisha Systems

Dallas, TX • On-site

$120K - $161K/yr

Other

Re-posted 13 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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