Назад
Company hidden
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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
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 security, cost optimization, and multi-region deployments. Focus on architecting data pipelines and AI workloads, leading client-facing presales and architecture sessions, and implementing Generative AI solutions with AWS services.

Location: Fully remote with required travel; Dallas, TX

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 on AWS.
  • Design data engineering, Generative AI, and machine learning solutions that improve operations, customer experiences, and automation.
  • Lead technical presales discussions, client architecture sessions, and customer-facing solution design.
  • Define scalable, secure, cost-optimized, and Well-Architected cloud architectures, including data pipelines and cloud-native frameworks.
  • Implement cloud governance covering AWS security, data security, AI privacy, and regulatory compliance.
  • Lead data modernization, application modernization, multi-region deployments, and knowledge transfer from presales to delivery teams.

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 practices.
  • Experience with Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Experience designing data pipelines, data lakes, data warehouses, and AI/ML data solutions.
  • Experience with Docker, ECS, EKS, serverless technologies, Terraform, or CloudFormation.
  • Strong customer-facing and presales experience, including translating business requirements into technical solutions.

Nice to have

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

Culture & Benefits

  • Fully remote work with required travel.
  • Work on practical, scalable cloud, data, and AI solutions for clients.
  • Collaborate with clients, sales teams, service delivery managers, and cross-functional technical teams.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →