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Generative Ai Sales Jobs (NOW HIRING)

AI Sales Solutions Architect

Vernon Hills, IL ยท On-site +1

$61.25 - $80.75/hr

For pre-sales you will be responsible for engaging with the client to understand their business ... Design, develop, and deploy generative AI models that demonstrate high performance and efficiency ...

AI Architect - Generative AI

Southfield, MI ยท On-site

$58.25 - $76.75/hr

AI Architect - Generative AI Willingness to work hybrid and onsite in Southfield (Metro-Detroit, MI ... Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AI/ML and GenAI ...

You are energized by innovation and comfortable leveraging emerging technologies - including generative AI - to enhance how you sell, engage, and win. A value-based sales approach, combined with a ...

AI Sales Strategist

Warrenville, IL

$121K - $157K/yr

The AI Sales Strategist is a transformative leader within the Sales Optimization team. This role ... Authoritative knowledge of the Salesforce.com ecosystem and familiarity with Generative AI tools (e ...

AI Sales Strategist

Warrenville, IL ยท On-site +1

$121K - $157K/yr

The AI Sales Strategist is a transformative leader within the Sales Optimization team. This role ... Authoritative knowledge of the Salesforce.com ecosystem and familiarity with Generative AI tools (e ...

Commercial Account Executive

Chicago, IL ยท On-site

$80K - $95K/yr

You are energized by innovation and comfortable leveraging emerging technologies - including generative AI - to enhance how you sell, engage, and win. A value-based sales approach, combined with a ...

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Generative Ai Sales information

See salary details

$44.5K

$135.3K

$400K

How much do generative ai sales jobs pay per year?

As of Jun 8, 2026, the average yearly pay for generative ai sales in the United States is $135,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced in Generative AI Sales roles?

One common challenge in this role is educating prospects about the capabilities and limitations of generative AI solutions, which often involves simplifying complex concepts for non-technical decision-makers. You may also encounter competitive and rapidly changing market conditions that require continual learning and adaptation. Teamwork between technical engineers, product managers, and the sales team is essential to tailor solutions that address specific client needs. Successfully navigating these challenges helps build trust with clients and positions you as a knowledgeable partner in their AI adoption journey.

What is a Generative AI Sales job?

A Generative AI Sales job involves selling AI-powered solutions that leverage machine learning models to generate content, automate tasks, and enhance business operations. Sales professionals in this role educate potential clients on AI capabilities, identify use cases, and guide them through the adoption process. They often work closely with technical teams to tailor AI solutions to customer needs. Strong communication, a deep understanding of AI applications, and the ability to navigate complex sales cycles are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Generative Ai Sales position, and why are they important?

To thrive as a Generative AI Sales professional, you need a solid understanding of AI technologies, strong sales acumen, and preferably a degree in business, computer science, or a related field. Familiarity with CRM software, AI platforms (such as OpenAI, Google Cloud AI), and relevant sales certifications are commonly expected. Outstanding communication, consultative selling, and relationship-building skills set top performers apart. These competencies are vital for effectively conveying complex AI solutions, understanding client needs, and achieving sales targets in a rapidly evolving industry.

More about Generative Ai Sales jobs
What cities are hiring for Generative Ai Sales jobs? Cities with the most 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 Generative Ai Sales jobs? States with the most job openings for Generative Ai Sales jobs include:
Infographic showing various Generative Ai Sales job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $135,312 per year, or $65.1 per hour.
Solutions Architect, Generative AI

Solutions Architect, Generative AI

Nvidia Corporation

Santa Clara, CA โ€ข On-site

$74 - $97.50/hr

Full-time

Posted yesterday


Job description

NVIDIA is seeking an outstanding AI Engineer or Solutions Architect to join our growing team focused on ecosystem partner enablement for Generative AI. In this role, you will lead by example, acting as both a strategic technical expert and a hands-on developer. You will directly build innovative proof-of-concept solutions and reference architectures for innovative AI agents, demonstrating the full power of the NVIDIA full-stack accelerated Generative AI platforms. By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using NVIDIA full AI stack, from GPU systems and CUDA to NeMo and Nemotron.
The Generative AI Partners Enablement Solutions Architect team is committed to leveraging advanced technologies to address and expedite the deployment of solutions for customers' real-world challenges. We act as trusted technical advisors and partners to our ecosystem. As a member of NPN Generative AI Solution Architecture team, you will be immersed in a diverse, supportive environment where everyone is inspired to do their life's work. Come join the team and see how you can make a lasting impact on the world by applying accelerated computing AI and solve category defining systems and production grade AI solutions at scale.
What you will be doing:
  • Building an end-to-end agentic AI applications that solve real-world enterprise problems across various industries.
  • Serve as the primary technical domain expert for pre- and post-sale for partners, embedding deeply with them to design and deploy Generative AI solutions at scale. Maintain strong relationships with leadership and technical teams to drive adoption, and successful utilization of NVIDIA GenAI platforms.
  • Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands-on prototypes, and advising on standard methodologies for scaling solutions to productions.
  • Establish the scope, success metrics, and evaluation criteria for partner-led customer projects, ensuring alignment to standardized and reproducible GPU-accelerated workflows.
  • Enable strategic partners to build their own Professional Services, platforms and products by integrating and accelerating using NVIDIA technologies for high-impact customer workloads. You will proactively find opportunities to drive deeper adoption and utilization of NVIDIA's Generative AI products.
  • Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.

What we need to see:
  • MS or PhD degree in Computer Science/Engineering, Machine Learning, Data Science, Electrical Engineering or a closely related field (or equivalent experience).
  • 5+ years of meaningful work experience in deploying AI models at scale as a Software Engineer or Deep Learning engineer.
  • Consistent track record of building enterprise-grade agentic AI systems using open-source models and solid foundation in deep learning, with a particular emphasis on LLM and VLM.
  • Hands-on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation and observability platforms. Comfortable building prototypes or proofs of concept
  • Strong coding development and proficiency in Python, C++ and Deep Learning frameworks (PyTorch, or TensorFlow).
  • Excellent communication and presentation skills to effectively collaborate with both internal executives, partners and customers.

Ways to stand out from the crowd:
  • Demonstrate expertise in building applications and systems using NeMo Framework, Nemotron, Dynamo, TensorRTLLM, NIMs, AI Blueprints. And actively contribute to the open-source community.
  • Take end-to-end ownership of projects, proactively acquiring new skills or knowledge as needed to drive success.
  • Excel in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.
  • Understanding of different advanced agent architectures and emerging communication protocols (MCP, OpenAI Agentic SDK, or Google A2A).
  • NVIDIA GPUs and system software stacks (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink and others.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993