Senior AI Engineer with AWS

EPAM Systems Inc

  • Atlanta, GA
  • 28 days ago

    Highlights

    We are looking for a hands-on Senior AI Engineer with strong production experience on AWS to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. The ideal candidate has successfully delivered enterprise-grade AI products and has hands-on ownership of AI agents and Gen AI solutions in production environments.

    Numbers & Facts

    LocationAtlanta, GA

    Description

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    Senior AI Engineer with AWS

    Remote in Georgia, & 4 others

    AI Solution Engineering

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    We are looking for a hands-on Senior AI Engineer with strong production experience on AWS to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. The ideal candidate has successfully delivered enterprise-grade AI products and has hands-on ownership of AI agents and Gen AI solutions in production environments.

    Responsibilities

    • Design, build, and deploy AI/ML solutions across the full software development lifecycle

    • Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases

    • Own AI solutions end-to-end, from model development and deployment to monitoring and support

    • Integrate AI capabilities into business applications and data products

    • Work with large-scale data to build and support production AI workloads

    • Optimize AI models and pipelines for performance, scalability, and cost efficiency

    • Manage model governance, versioning, and lifecycle using MLflow

    • Collaborate with cross-functional teams to ensure AI solutions meet business and technical requirements

    • Monitor and maintain AI solutions in production, ensuring reliability and performance

    Requirements

    • 5+ years of experience in AI/ML engineering, with a focus on production-grade solutions

    • Expertise in AI agents development and Gen AI solutions development

    • Proficiency in Amazon Web Services

    • Skills in MLflow, Feature Store, and Model Serving

    • Knowledge of Lakehouse AI and Unity Catalog

    • Background in integrating AI capabilities into business applications and data products

    • Understanding of large-scale data processing and production AI workload management

    • English proficiency at B2 level or higher

    Nice to have

    • Familiarity with AWS Bedrock

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