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2 дня назад

AWS Solutions Architect (AI/ML)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AWS Solutions Architect (AI/ML): Designing and implementing scalable cloud architectures and AI/ML integrations for business transformation with an accent on cloud modernization and data engineering. Focus on building Generative AI use cases, optimizing AWS Well-Architected frameworks, and leading technical presales for complex enterprise migrations.

Location: Remote (travel required)

Company

hirify.global is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud using Generative and Agentic AI.

What you will do

  • Architect cloud-native solutions and lead application modernization to migrate legacy systems to AWS for improved scalability and cost efficiency.
  • Design and implement integrations of Generative AI and Machine Learning to automate business operations and enhance customer experiences.
  • Lead technical presales discussions and deep-dive architecture sessions to translate client business goals into technical cloud architectures.
  • Define and implement cloud governance frameworks ensuring security, AI privacy, and regulatory compliance.
  • Develop complex data pipelines and integrate data lakes and warehouses to support AI/ML workloads.
  • Collaborate with cross-functional teams to ensure a smooth transition of project goals from pre-sales to delivery.

Requirements

  • 8+ years of experience in AWS solution design, specifically in cloud modernization, data engineering, and AI/ML architecture.
  • Expertise in AWS services including SageMaker, Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Proven experience migrating legacy applications using containers (Docker, ECS, EKS) and serverless technologies.
  • Proficiency with Terraform or CloudFormation for automating infrastructure management.
  • Strong experience in customer-facing pre-sales roles and building long-term client relationships.
  • Deep understanding of AWS Well-Architected best practices and cloud security controls.

Nice to have

  • AWS Certified Machine Learning – Associate.
  • AWS Certified Gen AI Developer – Professional.
  • AWS Certified Solutions Architect – Associate or Professional.

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