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Artificial Intelligence Sales Assistant Jobs (NOW HIRING)

KLA-Belgium

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

## Artificial Intelligence EngineerApplylocations: Milpitas, CAtime type: Full timeposted on: Posted 5 ... KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ...

KLA-Belgium

$140K - $238K/yr

## Artificial Intelligence EngineerApplylocations: Milpitas, CAtime type: Full timeposted on: Posted 5 ... KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

About the Opportunity: We are seeking an experienced Artificial Intelligence Engineer who ... * Assist in creating data pipelines for training and testing, including annotation and evaluation ...

Brevian.ai

Software Engineer

Sunnyvale, CA · On-site

BREV/AN is at the forefront of revolutionizing how businesses leverage artificial intelligence.Sales has evolved. CRMs are fading. Manual tasks are history. Brevian empowers teams with real-time ...

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Artificial Intelligence Sales Assistant information

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How much do artificial intelligence sales assistant jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for artificial intelligence sales assistant in the United States is $21.20, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.56 per hour, depending on experience, location, and employer.

What is an artificial intelligence sales assistant?

Artificial Intelligence Sales Assistants are AI-powered tools or software designed to help businesses improve their sales processes. They use machine learning and natural language processing to automate tasks such as lead qualification, customer communication, scheduling, and follow-up emails. These assistants can analyze customer data, predict buying behavior, and provide sales teams with insights to close deals more efficiently. Their goal is to save time, increase productivity, and enhance the overall customer experience in the sales cycle.

What skills and qualifications are needed to thrive as an artificial intelligence sales assistant?

To thrive as an Artificial Intelligence Sales Assistant, you need a strong understanding of AI concepts, sales strategies, and customer relationship management, often supported by a relevant degree or sales experience. Familiarity with CRM software, AI-powered sales tools, and data analytics platforms is typically required. Exceptional communication, problem-solving, and adaptability are important soft skills for building client trust and handling dynamic sales environments. These skills are crucial for effectively translating complex AI solutions into client value and driving business growth.

How does an artificial intelligence sales assistant typically collaborate with sales and technical teams to drive client success?

As an Artificial Intelligence Sales Assistant, you will frequently work alongside both sales representatives and technical experts to ensure that clients fully understand and benefit from AI-driven solutions. Your role often involves translating complex AI features into clear business value during client meetings, gathering client feedback, and relaying technical requirements or challenges to development teams. This collaboration helps tailor solutions to client needs and ensures seamless implementation, which is essential for building long-term client relationships and driving sales growth.

What is the difference between Artificial Intelligence Sales Assistant vs Customer Success Specialist?

AspectArtificial Intelligence Sales AssistantCustomer Success Specialist
CredentialsKnowledge of AI tools, sales techniquesCustomer service skills, industry knowledge
Work EnvironmentTech-driven sales teams, online platformsClient-facing, support-focused settings
Industry UsageTech, SaaS, AI companiesSoftware, service industries
Search & Comparison IntentSales roles involving AI toolsCustomer retention and support roles

The Artificial Intelligence Sales Assistant primarily focuses on leveraging AI tools to enhance sales processes within tech and SaaS industries. In contrast, a Customer Success Specialist emphasizes maintaining client relationships and ensuring customer satisfaction. While both roles require industry knowledge, the AI Sales Assistant is more sales and technology-oriented, whereas the Customer Success Specialist centers on customer retention and support.

What are the most commonly searched types of Artificial Intelligence Sales jobs?

The most popular types of Artificial Intelligence Sales jobs are:

What are popular job titles related to Artificial Intelligence Sales Assistant jobs?

For Artificial Intelligence Sales Assistant jobs, the most frequently searched job titles are:

Infographic showing various Artificial Intelligence Sales Assistant job openings in the United States as of September 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $44,098 per year, or $21.2 per hour.

AVP, Artificial Intelligence

Las Vegas, NV • On-site

Credit One Bank
Finance and Insurance • 501 - 1,000 employees
Learn more about Credit One Bankexternal

Full-time

Re-posted 16 days ago

Job description

 
Position Summary
The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.
 
Essential Job Functions
  • Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
  • Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
  • Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
  • Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
  • Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
  • Oversee model validation, explainability, bias testing, and audit readiness.
  • Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.
Position RequirementsCore AI Concepts and Technologies Required:
  • Machine Learning & Modeling
    • Supervised, unsupervised, reinforcement learning
    • Deep learning (CNNs, RNNs, Transformers)
    • Natural Language Processing (NLP) & LLMs
    • Generative AI (diffusion models, fine-tuning, RAG)
    • AI Engineering & MLOps
 
  • AI Engineering & MLOps
    • Model training, deployment, monitoring, and retraining
    • Feature stores, vector databases, and model registries
    • CI/CD pipelines for ML (MLOps)
    • GPU/accelerator compute architectures
  • Cloud & Infrastructure
    • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
    • Kubernetes, containerization, microservices
    • Data platforms (Databricks, Snowflake, Synapse)
  • Responsible AI & Governance
    • Model explainability (SHAP, LIME)
    • Fairness, bias detection, model risk controls
    • Privacy-preserving ML techniques (differential privacy, federated learning)
 
  • Programming & Tooling
    • Python, PyTorch, TensorFlow, JAX
    • LangChain, semantic search, vector embeddings
    • Prompt engineering & LLM orchestration frameworks
  • Excellent communication, problem-solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.
 
Preferred
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 5-8 + years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.  

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