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5 дней назад

Manager; AI Engineering

147 760 - 240 110$
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

Текст:
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TL;DR
Manager; AI Engineering (AI/Cloud): Leading the design, development, and operation of cloud-native AI agents, orchestration frameworks, tooling services, and observability solutions with an accent on generative AI, scalable architecture, and production reliability. Focus on building enterprise AI assistants, integrating foundation models and RAG, and solving complex challenges in security, evaluation, monitoring, and operational excellence.

Location: Chicago, Illinois, United States

Salary: $147,760–$240,110 per year

Company

A global industrial technology organization builds digital solutions using connected assets, data, advanced analytics, telematics, and AI.

What you will do

  • Lead and develop a software engineering team responsible for AI agents and AI tooling.
  • Set technical strategy, architecture, and execution for cloud-native AI solutions.
  • Oversee the design, deployment, operation, and production support of AI agents, orchestration frameworks, and supporting services.
  • Partner with product owners, architects, data scientists, business stakeholders, and engineering teams to deliver AI-enabled capabilities.
  • Establish standards for coding, testing, security, observability, reliability, and operational excellence.
  • Manage release planning, resource allocation, risk management, coaching, mentoring, and team development.

Requirements

  • Proven experience leading software engineering teams and developing engineering talent.
  • Deep knowledge of modern software engineering, architecture, distributed cloud-native applications, and design patterns.
  • Experience establishing testing strategies, observability standards, monitoring practices, incident management, and reliability processes.
  • Experience with AI assistants, digital copilots, autonomous agents, or AI-powered business applications.
  • Knowledge of LLMs, RAG architecture, tool calling, prompt engineering, agent orchestration, and AI evaluation.
  • Experience with major cloud platforms, containerization, CI/CD, infrastructure as code, platform operations, and Python, Go, Java, or similar languages.

Nice to have

  • Experience with OpenAI, Anthropic Claude, Gemini, or open-source foundation models.
  • Familiarity with LangGraph, LangChain, Semantic Kernel, CrewAI, or similar frameworks.
  • Experience working with Azure DevOps and strong knowledge of Agile development.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid time off, holidays, and volunteer time.
  • 401(k), HSA, and FSA programs.
  • Career development, tuition reimbursement, and incentive bonus opportunities.
  • Life, disability, parental leave, adoption, and employee assistance benefits.

Hiring process

  • Employment offers require successful completion of a drug screen.
  • Visa sponsorship is not available for this position.

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