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Artificial Intelligence Pricing Jobs (NOW HIRING)

The Director, Artificial Intelligence will lead the UPT division's AI-driven value creation agenda ... Identify AI-enabled growth opportunities across pricing, products, services, and installed base ...

Job Summary: The Pricing Analyst is responsible for supporting Zoro's pricing and profitability ... Proficiency in R, Python, or artificial intelligence tools such as OpenAI, Gemini, or related APIs.

Maintain pricing & deletion allowances for all assigned vendors * Maintain all RIP's for assigned ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Maintain pricing & deletion allowances for all assigned vendors * Maintain all RIP's for assigned ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Maintain pricing & deletion allowances for all assigned vendors * Maintain all RIP's for assigned ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Artificial Intelligence Pricing information

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$29K

$93K

$152.5K

How much do artificial intelligence pricing jobs pay per year?

As of Jul 27, 2026, the average yearly pay for artificial intelligence pricing in the United States is $92,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $118,500.00 per year, depending on experience, location, and employer.

Which AI job is high paying?

Senior roles in artificial intelligence, such as AI Research Scientist, Machine Learning Engineer, and AI Solutions Architect, tend to be the highest paying jobs in the field. These positions typically require advanced skills in deep learning, programming, and data analysis, along with relevant experience or advanced degrees. Compensation varies by industry and location but often exceeds six figures for experienced professionals in these roles.

How does an Artificial Intelligence Pricing specialist typically collaborate with other departments within a company?

An Artificial Intelligence Pricing specialist works closely with teams such as sales, marketing, data analytics, and product management to develop and refine pricing strategies. This collaboration ensures that AI-driven pricing models are aligned with market trends, customer behaviors, and business objectives. Regular communication with these departments is essential for gathering data inputs, validating model outputs, and implementing pricing recommendations effectively. By working cross-functionally, the specialist helps ensure pricing strategies are both competitive and profitable.

Which 3 jobs will survive AI?

Artificial Intelligence Pricing professionals, data scientists, and AI ethics specialists are likely to continue thriving as their roles involve complex decision-making, ethical considerations, and specialized expertise that are difficult for AI to fully replicate. These jobs require critical thinking, domain knowledge, and human judgment, making them more resilient to automation. Skills in programming, statistical analysis, and understanding AI tools are essential for these roles.

Will AI replace pricing analysts?

Artificial Intelligence Pricing roles involve using AI tools and data analysis to set and optimize prices. While AI can automate routine tasks and improve accuracy, pricing analysts are still needed for strategic decision-making, interpreting complex market factors, and overseeing AI systems. The role is evolving to include managing AI-driven pricing models rather than being fully replaced by AI.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. Such roles may involve overseeing AI development projects, strategic planning, and working with cutting-edge tools and frameworks, and they usually offer compensation in the upper echelons of the industry. These positions are rare and usually found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Pricing Specialist, and why are they important?

To excel as an Artificial Intelligence Pricing Specialist, you need a solid background in data analysis, statistics, and pricing strategy, often with a degree in mathematics, economics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and proficiency in pricing optimization tools are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills for translating data insights into actionable pricing decisions. These skills are crucial for developing competitive pricing models that maximize revenue while adapting to market changes.

What is the difference between Artificial Intelligence Pricing vs Data Scientist?

AspectArtificial Intelligence PricingData Scientist
Required CredentialsDegree in Data Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech companies, finance, retail; focus on pricing models and AI toolsResearch labs, tech firms, finance; focus on data analysis and model development
Employer & Industry UsageUsed to optimize pricing strategies with AI algorithmsUsed to analyze data, build predictive models, and extract insights

Artificial Intelligence Pricing professionals focus on developing AI-driven pricing models to optimize revenue, while Data Scientists analyze data and build models across various domains. Both roles require strong technical skills and often overlap in skills and work environment, but their primary focus differs: pricing optimization versus data analysis and modeling.

What is Artificial Intelligence Pricing?

Artificial Intelligence Pricing refers to the use of AI technologies and machine learning algorithms to automatically analyze data and set optimal prices for products or services. This approach enables businesses to respond in real time to market changes, customer demand, competitor actions, and other variables. AI pricing systems can help maximize revenue, improve profit margins, and enhance customer satisfaction by offering personalized or dynamic pricing strategies.
What cities are hiring for Artificial Intelligence Pricing jobs? Cities with the most Artificial Intelligence Pricing job openings:
What states have the most Artificial Intelligence Pricing jobs? States with the most job openings for Artificial Intelligence Pricing jobs include:
What job categories do people searching Artificial Intelligence Pricing jobs look for? The top searched job categories for Artificial Intelligence Pricing jobs are:
Infographic showing various Artificial Intelligence Pricing job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $92,983 per year, or $44.7 per hour.
Principal Artificial Intelligence Solutions Consultant

Principal Artificial Intelligence Solutions Consultant

Wells Fargo

Charlotte, NC • Hybrid

$215K - $355K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 24 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 702 frontline employees who took The Breakroom Quiz

88th of 170 rated banks


Job description

About this role:

Wells Fargo is seeking a Principal Artificial Intelligence Solutions Consultant, as part of the Artificial Intelligence team.

Learn more about career areas and lines of business at wellsfargojobs.com.

You will support the enterprise adoption and scaling of AI, advanced analytics, and agent based solutions across the firm. This role sits at the intersection of technology, finance, and business strategy, ensuring that AI and cloud investments are economically sustainable, transparent, and aligned to regulatory and risk requirements.

You will partner closely with Technology, Finance, Product, Risk, and Lines of Business, helping design and operate end to end economic models for AI solutions-including people costs, AI platform costs, model usage, and cloud infrastructure consumption. The role goes beyond traditional cloud cost management and focuses on unit economics, financial governance, and value realization for AI enabled workloads.

In this role, you will:

  • Develop the Artificial Intelligence framework companywide or for an assigned line of business
  • Discuss the current state and transitioning strategy to accelerate utilization for enhancing the customer or individual experience
  • Lead the strategy over a large portfolio of Artificial Intelligence at the highest complexity with companywide impact
  • Research and develop Artificial Intelligence designs and concepts
  • Provide vision, leadership, risk assessment, policy development and implementation on Artificial Intelligence programs
  • Maintain knowledge of best practices and emerging trends within Artificial Intelligence to provide results
  • Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Required Qualifications:

  • 10+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of experience in a combination of cloud economics, FinOps, technology consulting, financial management, or large scale IT financial planning

Desired Qualifications:

  • Strong understanding of cloud consumption models (public cloud, hybrid, usage based pricing)
  • Experience working with or supporting AI / advanced analytics / data platform workloads
  • Ability to translate complex technical and financial data into clear, executive ready insights
  • Experience partnering across Technology, Finance, and Business teams in a large, regulated enterprise
  • Experience with GenAI, LLM platforms, or AI agent architectures, including awareness of token based or usage based pricing models
  • Familiarity with FinOps principles and practices; FinOps Foundation certification is a plus
  • Background in financial services, banking, or other highly regulated industries
  • Experience building unit cost models, ROI analyses, or business cases for technology investments
  • Comfort working in matrixed environments with multiple stakeholders and competing priorities

Job Expectations:

  • Position offers a hybrid work schedule

Posting Locations:

  • 2190 Willow Pass Road. Concord, CA 94520
  • 300 S Brevard Street. Charlotte, North Carolina 28202

CA- Concord Pay Range: $215,000 - $355,000 Annually

NC- Charlotte Pay Range: $215,000 - $355,000 Annually

    Pay Range

    Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

    $215,000.00 - $355,000.00

    Benefits

    Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

    • Health benefits
    • 401(k) Plan
    • Paid time off
    • Disability benefits
    • Life insurance, critical illness insurance, and accident insurance
    • Parental leave
    • Critical caregiving leave
    • Discounts and savings
    • Commuter benefits
    • Tuition reimbursement
    • Scholarships for dependent children
    • Adoption reimbursement

    Posting End Date:

    26 Jul 2026

    *Job posting may come down early due to volume of applicants.

    We Value Equal Opportunity

    Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

    Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

    Applicants with Disabilities

    To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

    Drug and Alcohol Policy

    Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

    Wells Fargo Recruitment and Hiring Requirements:

    a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

    b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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    About Wells Fargo

    Sourced by ZipRecruiter

    Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

    Industry

    Finance and insurance

    Company size

    10,000+ Employees

    Headquarters location

    San Francisco, CA, US

    Year founded

    1852

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