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3 дня назад

AI Engineering Manager (AWS/Azure)

140 000 - 170 000$
Формат работы
remote (только USA)
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
AI Engineering Manager (AWS/Azure): Building full-stack AI solutions on AWS and Azure with Claude and other models, working directly with business users in a delivery pod with an accent on production RAG and agent systems, cloud-native workloads, and engineering quality. Focus on designing and deploying enterprise integrations, building evaluation and testing pipelines, and setting engineering standards while supporting less experienced engineers.

Location: Chicago, United States; remote work indicated by the #LI-REMOTE designation.

Base salary: $140,000–$170,000 USD per year. Total estimated compensation including annual incentive compensation: $168,000–$204,000 USD.

Company

hirify.global is a global consulting organization that helps clients drive growth, improve business performance, and implement transformative solutions.

What you will do

  • Build full-stack AI features on AWS and Azure using Claude and other models.
  • Work directly with business users inside a pod to build solutions around their needs.
  • Develop tests and evaluations for everything that ships.
  • Implement agreed solution designs and identify gaps or missing considerations.
  • Set engineering standards within the pod and support less experienced engineers.

Requirements

  • 5–8 years of experience building software or AI, including 1–2 years in a leadership capacity.
  • Python and TypeScript experience across backend and modern frontend development, including React or similar.
  • Production experience with RAG and AI agents.
  • Experience with Docker, Kubernetes, CI/CD pipelines, REST APIs, and enterprise data integration.
  • Experience deploying and operating cloud-native workloads on AWS or Azure.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice to have

  • Experience with agentic DevOps tooling, agentic coding tools, or evaluation-driven pipelines.
  • Experience with vector databases and LLM observability in production.
  • Infrastructure-as-code experience with Terraform or Bicep.
  • Healthcare or higher education experience, including HIPAA or FERPA environments.
  • AWS Machine Learning Engineer – Associate or Azure AI Engineer Associate certification.

Culture & Benefits

  • Collaborative work with business stakeholders and corporate functions.
  • Medical, dental, and vision coverage.
  • Wellness programs and other employee benefits.
  • Eligibility for annual incentive compensation.

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