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Senior Generative Ai Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Seeking a visionary and experienced Senior Generative AI Architect to lead the design, development, and implementation of generative AI solutions across software test lifecycle. * The selected ...

... Senior Multimodal AI Researcher, Audio to join Dolby's research efforts and drive innovation in multimodal AI for audio applications, multimodal representations, and generative modeling for audio ...

Senior Engineer, Generative AI

New York, NY · On-site

$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 ...

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 ...

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health ...

Overview The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world problems to enable healthcare organizations to deliver better care at lower cost through advanced ...

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health ...

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health ...

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health ...

Overview The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world problems to enable healthcare organizations to deliver better care at lower cost through advanced ...

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Senior Generative Ai information

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$25K

$80.3K

$163.5K

How much do senior generative ai jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior generative ai in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the best senior generative AI career paths for senior professionals?

Senior professionals in generative AI can pursue career paths such as AI research scientist, machine learning engineer, AI product manager, or AI solutions architect. These roles typically require expertise in deep learning frameworks, programming skills, and knowledge of large language models, with opportunities in tech companies, research institutions, and startups.
What cities are hiring for Senior Generative Ai jobs? Cities with the most Senior Generative Ai job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Senior Generative Ai jobs? States with the most job openings for Senior Generative Ai jobs include:

Sr. Generative AI Developer

Tanisha Systems

Dallas, TX • On-site

$120K - $161K/yr

Other

Re-posted 22 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 .