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2 дня назад

Managing Solution Architect (Cloud, Data Analytics and AI)

150 000 - 220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Managing Solution Architect (Cloud, Data Analytics and AI): Designing and implementing end-to-end cloud, data, and AI platforms with an accent on hands-on engineering, generative AI, scalable architectures, and technical delivery. Focus on building production-grade data pipelines and AI systems, developing prototypes and proof-of-concepts, and leading migrations, deployment automation, and complex technical implementations.

Location: Chicago, United States

Salary: $150,000–$220,000 per year

Company

hirify.global is a global business and technology transformation partner delivering strategy, design, engineering, cloud, data, and AI services.

What you will do

  • Design architecture blueprints and implement end-to-end cloud, data analytics, and AI platforms.
  • Lead coding, technical builds, prototypes, and production engineering with development teams and clients.
  • Execute cloud and platform migrations and modernize technology stacks across data, analytics, and AI domains.
  • Translate data lake, event-driven, domain-driven, and modular microservices patterns into functional application stacks.
  • Support presales through proof-of-concept builds and implementation-oriented technical pricing.
  • Lead engineering sprint teams, deployment pipelines, environment configuration, and resolution of critical delivery blockers.

Requirements

  • At least 14 years of IT experience, including at least 6 years in architecture roles.
  • Bachelor’s or master’s degree in computer science, information systems, or a related technology field.
  • Expert hands-on programming skills in Spark, Scala, and Java in AWS, Azure, or Google Cloud environments.
  • Strong experience with generative AI, prompt engineering, LLM fine-tuning, RAG, vector databases, agent development, orchestration, and MLOps/LLMOps.
  • Experience with data engineering, data lakes and warehouses, microservices, event-driven platforms, streaming and batch pipelines, and modern database systems.
  • Hands-on DataOps, DevOps, and delivery automation experience with GitHub Actions, Jenkins, Terraform, and Git in Agile environments.

Culture & Benefits

  • Permanent, full-time employment for experienced professionals.
  • Paid vacation of 12–25 days based on employee grade, plus company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage.
  • Retirement savings plans, including 401(k) in the United States.
  • Life and disability insurance and employee assistance programs.

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