AI Pricing Applied Engineer

Job Title: AI Pricing Applied Engineer Location: Santa Clara, 5x onsiteDuration: 9 monthsJob Description:As an AI Pricing Applied Engineer (Contract), you'll work alongside the WWFO Enterprise Pricing team to transform pricing, rebate, and quoting operations through practical AI-driven solutions. Our focus is on reducing manual operational overhead, improving accuracy, and enabling scalable, intelligent decision-making across enterprise pricing systems.This role is ideal for someone who thrives at the intersection of AI and real-world business applications—someone who can quickly move from identifying inefficiencies to building and deploying solutions that drive measurable impact. You’ll work across platforms like Salesforce, SAP, Vistex, and modern data environments to embed AI directly into pricing workflows.We’re looking for a builder—someone who is hands-on, proactive, and comfortable operating in ambiguity while delivering high-impact outcomes.What you’ll be doing:Drive execution of the Pricing AI roadmap by assessing current pricing, rebate, and quoting processes and identifying high-impact automation opportunitiesBuild AI agents that proactively monitor pricing data and detect anomalies using data from Salesforce, SAP, Vistex, and analytics platformsDevelop AI-enabled workflows that automate manual processes across rebate review, policy validation, price list generation, and pricing executionDesign and implement AI-powered tools that improve productivity for pricing and cross-functional WWFO teams by simplifying access to insights and operational dataArchitect scalable AI solutions and infrastructure that support price-sensitive and confidential data with appropriate governance and controlsPartner with pricing, business, and sales stakeholders to translate operational pain points into deployable AI solutionsServe as an AI thought partner by introducing emerging tools and driving adoption of AI capabilities across pricing use casesWhat we need to see:Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)Proven experience building and deploying applied AI/ML solutions in production, ideally in business operations or enterprise systemsStrong Python skills and experience working with modern AI tools (e.g., LLM APIs, LangChain, vector databases, ML frameworks)Experience integrating and working with enterprise systems such as Salesforce, SAP, or similar platformsStrong SQL and data engineering fundamentals, including working with large and complex datasetsExperience building data pipelines and working with cloud data platforms (e.g., Databricks, BigQuery, Snowflake)Strong problem-solving skills with the ability to operate independently and drive end-to-end executionWays to stand out from the crowd:Experience building AI agents/copilots that automate operational workflowsHands-on experience applying LLMs to enterprise use cases (e.g., decision support, anomaly detection, document automation)Familiarity with pricing, rebate systems, CPQ platforms, or financial operationsExperience designing AI solutions for sensitive or regulated data environmentsTrack record of delivering practical, production-ready solutions (not just prototypes)Passion for rapidly learning and applying emerging AI technologies to real business problems