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Full Time Generative Ai Sales Jobs (NOW HIRING)

Meta

Partner Engineer, Generative AI

Menlo Park, CA · On-site

$149K - $210K/yr

Responsibilities Apply relevant AI and machine learning techniques to build and launch generative ... sales engineer • 5+ years of experience in one or more of the following areas: Deep Learning ...

Turning Point Search

AI Architect - Generative AI

Southfield, MI · 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 ...

Decagon

Senior Solutions Engineer

San Francisco, CA · On-site

$65 - $84/hr

... sales) role • Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer • Create and architect generative AI experiences for our ...

Decagon

Senior Solutions Engineer

Manhattan, NY · On-site

$60.75 - $78.50/hr

... sales) role • Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer • Create and architect generative AI experiences for our ...

Jobgether

Our partner is looking for a Lead AI Generative Designer based in Netherlands. Join a forward ... Fully remote full-time position with worldwide flexibility. * Competitive compensation, with salary ...

Nutanix

Sr. Solutions Architect - AI

Dallas, TX · On-site

Foster an innovative culture by sharing insights on generative AI advancements and best practices within the organization. What You Will Bring * 7+ years of proven pre-sales experience in cloud ...

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Full Time Generative Ai Sales information

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$26K

$79.2K

$142.5K

How much do full time generative ai sales jobs pay per year?

As of Aug 11, 2026, the average yearly pay for full time generative ai sales in the United States is $79,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $92,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Generative Ai Sales vs Full Time AI Sales Specialist?

AspectFull Time Generative Ai SalesFull Time AI Sales Specialist
CredentialsSales experience, knowledge of AI/generative AISales experience, technical understanding of AI
Work EnvironmentCorporate sales teams, tech companiesTech firms, AI startups, enterprise clients
Industry UsageGrowing in AI and tech sectorsWidespread across AI-focused companies
Search IntentComparing sales roles in generative AILooking for AI sales roles with technical focus

Full Time Generative Ai Sales focuses on selling generative AI products and solutions, requiring sales skills combined with knowledge of generative AI technology. In contrast, Full Time AI Sales Specialist may have a broader or more technical role, emphasizing understanding AI products' technical aspects. Both roles are common in tech and AI industries, but Generative AI Sales is more specialized in generative AI offerings.

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 Full Time Generative Ai Sales jobs? States with the most job openings for Full Time Generative Ai Sales jobs include:
Full Time Generative Ai Sales jobs near you

AI Architect - Generative AI

Turning Point Search

Southfield, MI

$58.25 - $76.75/hr

Full-time

Re-posted 7 days ago

Job description

AI Architect - Generative AI
Willingness to work hybrid and onsite in Southfield (Metro-Detroit, MI).

We are in a digital revolution where AI and analytics offer rare opportunities to transform business. Our client provides AI services to help companies unlock AI/ML and GenAI potential, rapidly prototyping, validating, and scaling enterprise solutions. We're hiring an AI Architect to lead this effort.
Key Responsibilities:

  • Engage with existing and prospective clients to present AI/ML and GenAI-based solutions, including product/platform demonstrations.
  • Lead the technical response to AI/ML and GenAI/Agentic AI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)
  • Architect and design sophisticated, advanced analytical applications using GenAI. Examples include but not limited to Forecasting, Predictive Maintenance, Segmentation, Supply Chain Optimization, Computer Vision, Speech, and Text Analytics using appropriate AI/ML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/GCP)
  • Design and build GenAI/Agentic AI-based capabilities leveraging LLMs (First-party, Third-party, and Open Source) to solve complex business problems.
  • Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization
  • Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams
  • Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions
Qualifications:
  • Must have a minimum of 8+ years machine learning, data science, enterprise scale, experience in ML Ops
  • Excellent verbal and written communication skills with ability to present complex AI/ML concepts to technical and executive audience (using PPTs, Demos, Whiteboard)
  • Hands-on expertise in fine-tuning LLMs and designing AI/ML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and GCP)
  • Strong relationship building skills and ability to provide technical advisory and guidance
  • Proven ability as Solution Architect designing and developing AI/ML applications
  • Minimum 2-year hands-on experience in building GenAI/Agentic AI applications demonstrating LLM in any of the following industries: manufacturing, automotive, healthcare, financial services
  • Demonstrated ability as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
  • Expertise in handling large and sophisticated RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment

Education:

  • Bachelor's or Master's degree or equivalent experience in computer science, engineering, information systems or a related field

Apply