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AI Engineer

Job in Englewood, Arapahoe County, Colorado, 80112, USA
Listing for: Arrow Electronics
Full Time position
Listed on 2026-08-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 155000 - 205000 USD Yearly USD 155000.00 205000.00 YEAR
Job Description & How to Apply Below

Arrow Electronics is seeking an AI Engineer to design, build, and deploy AI solutions that power our global wholesale technology and electronics distribution business. In this role, you will develop and product ionize machine learning models that improve pricing, forecasting, inventory optimization, and customer experience across industrial and commercial markets. You will partner closely with data engineers, software developers, and business stakeholders in a performance-driven, innovative, and collaborative environment.

Responsibilities include building data pipelines, training and evaluating models, integrating AI services into cloud-based systems, and continuously enhancing model accuracy and scalability. You will contribute to our AI strategy while benefiting from strong career development, exposure to cutting-edge technologies, and the opportunity to impact customers worldwide.

Responsibilities

  • Design, build, and deploy machine learning and AI models to optimize pricing, inventory, and supply chain operations in wholesale distribution.
  • Collaborate with product, engineering, and business stakeholders to translate requirements into scalable AI solutions.
  • Develop data pipelines, perform feature engineering, and ensure data quality for model training and evaluation.
  • Integrate AI services and models into production systems using APIs and cloud-native architectures.
  • Monitor, evaluate, and continuously improve model performance, reliability, and scalability.
  • Document solutions, follow MLOps best practices, and contribute to internal AI/ML standards and tooling.

Required Skills

  • Machine learning model development
  • Deep learning (Tensor
  • Flow/Py
  • Torch)
  • Python programming
  • Data preprocessing and feature engineering
  • MLOps and model deployment
  • Cloud platforms (AWS/Azure/GCP)
  • API development and integration
  • SQL/No
  • SQL databases
  • Version control (Git)
  • Prompt engineering and LLM integration
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