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3 дня назад

AWS Solutions Architect (AI/ML)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AWS Solutions Architect (AI/ML) (AWS, Generative AI, Data Engineering): Designing and implementing scalable AWS cloud architectures for modernization, data engineering, and AI/ML integration with an accent on Well-Architected solutions, security, and cost optimization. Focus on leading client architecture sessions, migrating legacy applications, building data pipelines, and implementing advanced Generative AI use cases with AWS services.

Location: Fully remote; Richmond, VA, United States, with travel required

Company

hirify.global is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate through cloud, data, and AI solutions.

What you will do

  • Architect cloud-native solutions and lead legacy application modernization and migration initiatives to AWS.
  • Design and implement solutions integrating data engineering, Generative AI, and machine learning.
  • Lead technical presales discussions and translate client business needs into scalable cloud architectures.
  • Run client architecture deep dives and propose Well-Architected solutions involving data pipelines, cloud-native frameworks, and AI/ML workloads.
  • Define cloud governance frameworks covering AWS security policies, data security, AI privacy, and regulatory compliance.
  • Support knowledge transfer from presales to delivery teams and stay current with cloud, AI, data engineering, and machine learning technologies.

Requirements

  • 8+ years of experience designing, building, and operating AWS solutions.
  • Strong expertise in cloud modernization, data engineering, AI/ML architecture, and AWS Well-Architected best practices.
  • Knowledge of Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Experience designing data pipelines and integrating data lakes, data warehouses, and AI/ML data solutions.
  • Experience with Docker, ECS, EKS, serverless technologies, Terraform, or CloudFormation.
  • Strong presales and customer-facing experience, plus understanding of AWS security, AI privacy, and regulatory compliance.

Nice to have

  • AWS Certified Machine Learning – Specialty.
  • AWS Certified Solutions Architect – Associate or Professional.

Culture & Benefits

  • Fully remote work arrangement with required travel.
  • Work with an international AWS consulting organization focused on practical, scalable cloud and AI solutions.
  • Exposure to Generative AI, Agentic AI, cloud modernization, and data-driven applications.

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