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Aquent Logo Aquent · IT - Software Development

Senior Developer and AI Innovation Lead

United States, Beaverton 57.60 - 64.00 USD / Hour · Job Posted June 14, 2026
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Job Description

We are looking for a forward-thinking Senior Developer & AI Innovation Lead to join a global Sport Planning Technology team supporting Assortment Planning. This is a transformation-focused role where you will help modernize a critical planning tool used by business planners to build multi-season demand and assortment plans. Today, the system is heavily dependent on Excel and VBA. Your mission is to help reimagine and rebuild it into a modern, cloud-native, AI-augmented platform that improves speed, accuracy, and usability for planners across multiple product categories. You will work directly with business planners and technical teams to design and deliver a next-generation planning experience that reduces cycle times, removes manual workflows, and introduces intelligent automation and AI-driven insights.

Job Responsibility

  • Lead the modernization of a legacy planning system into a scalable, cloud-native platform
  • Design and build data-intensive applications supporting multi-dimensional planning and forecasting
  • Identify and implement AI/ML opportunities such as forecasting support, anomaly detection, and intelligent recommendations
  • Partner directly with business planners to translate workflows into modern digital solutions
  • Own end-to-end delivery including architecture, development, testing, and deployment
  • Help define the long-term technical vision for planning tools and AI adoption

Requirements

  • 5+ years of software development experience using Python, TypeScript/JavaScript, SQL, or cloud technologies
  • Proven experience building AI/ML-powered features in production systems
  • Experience modernizing or replacing legacy tools or workflows (e.g., Excel/VBA or manual processes)
  • Strong background in building data-heavy applications with complex datasets and logic
  • Ability to work directly with business stakeholders and translate needs into technical solutions
  • Self-starter who can own a problem space from idea through delivery

Nice to have

  • Experience in demand planning, supply chain, or merchandising systems
  • Familiarity with planning platforms (Anaplan, Kinaxis, o9, etc.)
  • Hands-on experience with LLMs, copilots, or AI agents in enterprise environments
  • Cloud data platform experience (Snowflake, Databricks, BigQuery)
  • Background in retail, consumer goods, or sports-related industries
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