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Senior Generative Ai Engineer Jobs (NOW HIRING)

Jobtailor

NY · On-site

$180 - $240/hr

Embed generative AI capabilities into existing automation frameworks (e.g., Selenium, Playwright). * Implement advanced GenAI techniques such as prompt engineering and Retrieval‑Augmented ...

New

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 ...

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 ...

Northern Base

Generative AI Engineer

Irving, TX · On-site

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time Experience Required: 6+ Years Visa Type: USC / GC Only Interview Mode: In-person (Final Round) Must-Have ...

PB consulting

Generative AI Engineer

Grand Prairie, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

Generative AI Engineer

Colleyville, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

Generative AI Engineer

Irving, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

Generative AI Engineer

Richland Hills, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

Generative AI Engineer

Lewisville, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

Generative AI Engineer

Grapevine, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

PB consulting

Generative AI Engineer

Southlake, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

Prosum Inc.

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

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 ...

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Senior Generative Ai Engineer information

See salary details

$59.5K

$126.6K

$183.5K

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

As of Aug 21, 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 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 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.

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 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.

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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 August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Generative AI Engineer

Delan Associates, Inc.

Kansas City, MO • On-site, Remote

Contractor

Posted 29 days ago

Job description

Hiring: Generative AI Engineer
Location: Kansas City, MO (2 days/week onsite - Local candidates only)
Experience: 8+ Years
We're looking for an experienced Generative AI Engineer with expertise in:
• Generative AI & Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI Frameworks
• Python & API Development
• Azure and/or GCP Cloud Platforms
• Workflow Automation & Document Intelligence
• AI POC Development
Preferred: Banking/Financial Services experience and exposure to AI Governance, Risk & Compliance.

Apply