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Senior Generative Ai Sales 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 ...

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 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 Sales information

See salary details

$30.5K

$94.1K

$147K

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

As of Jul 18, 2026, the average yearly pay for senior generative ai sales in the United States is $94,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $119,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Generative Ai Sales vs AI Sales Manager?

AspectSenior Generative Ai SalesAI Sales Manager
Required CredentialsExperience in AI sales, technical understanding of generative AI, sales certificationsSales experience, leadership skills, industry knowledge
Work EnvironmentTechnical sales teams, AI product demos, client consultationsSales teams management, strategic planning, client relationship management
Employer & Industry UsageTech companies, AI startups, enterprise AI solutionsTech firms, AI service providers, software companies
Search & Comparison IntentUnderstanding roles in AI sales, technical sales positionsLeadership in AI sales, managing sales teams

While both roles focus on AI sales, the Senior Generative Ai Sales position emphasizes technical expertise and direct client engagement in generative AI products. In contrast, the AI Sales Manager oversees sales teams and strategic initiatives within the AI industry. The roles often overlap in industry and credentials but differ in scope and responsibilities.

How does a Senior Generative AI Sales professional typically collaborate with technical teams during the sales process?

As a Senior Generative AI Sales professional, you will work closely with data scientists, solution architects, and product managers to deeply understand customers’ needs and tailor AI solutions accordingly. Collaboration often involves translating complex technical capabilities into clear business value for clients, as well as relaying client feedback to technical teams to influence product development. Regular meetings, joint presentations, and strategy sessions are common, ensuring that sales pitches are both technically accurate and aligned with the client's objectives. This cross-functional teamwork is essential for closing deals and maintaining long-term client relationships.

What is a Senior Generative AI Sales professional?

A Senior Generative AI Sales professional is an experienced sales expert who specializes in selling generative AI products and solutions to businesses. They work closely with clients to understand their needs, demonstrate how generative AI technologies (such as large language models and image generators) can add value, and guide them through the purchasing process. Their role often involves building strong client relationships, developing sales strategies, and staying updated on the latest advancements in AI. Senior professionals in this role typically have a deep understanding of both the technology and the industries they serve, enabling them to offer tailored solutions.

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

To thrive as a Senior Generative AI Sales professional, you need deep knowledge of AI and machine learning concepts, proven sales experience, and a track record of closing complex enterprise deals. Familiarity with CRM systems like Salesforce, AI platforms such as OpenAI or Google Cloud AI, and relevant certifications in AI or sales methodologies are highly valuable. Outstanding communication, consultative selling, and relationship-building skills set top performers apart in this field. These competencies are essential for effectively understanding client needs, articulating AI solutions' value, and driving business growth in a fast-evolving market.
What cities are hiring for Senior Generative Ai Sales jobs? Cities with the most Senior Generative Ai Sales job openings:
What are the most commonly searched types of Generative Ai Sales jobs? The most popular types of Generative Ai Sales jobs are:
What states have the most Senior Generative Ai Sales jobs? States with the most job openings for Senior Generative Ai Sales jobs include:
Sr. Generative AI Developer

Sr. Generative AI Developer

Tanisha Systems

Dallas, TX • On-site

$120K - $161K/yr

Other

Re-posted 29 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 .