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2 дня назад

Senior Manager, AI Engineering

120 800 - 151 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Manager, AI Engineering (GenAI/Agentic AI): Leading the engineering of enterprise Generative AI and agentic solutions with an accent on LLMs, RAG, model selection, architecture, and responsible AI. Focus on building and deploying chatbots and agents, resolving enterprise-scale integration and architecture challenges, and balancing cost, latency, accuracy, reliability, security, and privacy.

Location: Chicago, IL — Chicago/Aon Center

Base salary: $120,800–$151,000 per year, plus eligibility for a performance-based bonus.

Company

hirify.global is a large food and consumer goods company developing enterprise technology capabilities across its business.

What you will do

  • Lead, coach, and develop a team of AI engineers delivering Generative AI and agentic solutions.
  • Own the AI engineering strategy and roadmap across multiple business units and functions.
  • Translate business requirements into system architecture, solution flows, and configuration specifications.
  • Recommend reusable architecture patterns, model-selection strategies, and engineering approaches for LLMs, RAG, agentic workflows, and context engineering.
  • Drive evaluation, error-analysis, and Responsible AI practices to improve the predictability and trustworthiness of non-deterministic systems.
  • Communicate progress, trade-offs, risks, and architecture decisions to business, technology, senior, and executive stakeholders.

Requirements

  • Master’s degree in computer science, engineering, information technology, or a related field, or a bachelor’s degree with equivalent professional experience.
  • Relevant experience in AI/ML, software or solution architecture, or technical leadership, including leading or mentoring engineers.
  • Hands-on experience building and deploying GenAI solutions such as chatbots and agents on a major cloud platform, preferably Microsoft Azure.
  • Experience translating business requirements into technical design documents and system configurations.
  • Working expertise with LLMs, RAG, prompt and context engineering, agentic workflows, and LangGraph, supported by evaluations and error analysis.
  • Strong software engineering, stakeholder management, communication, and technical-business alignment skills.

Culture & Benefits

  • Medical, prescription drug, dental, vision, screening, and assessment coverage.
  • 7% 401(k) matching, life insurance, disability coverage, and other financial benefits.
  • Paid time off, company holidays, leave of absence programs, and flexible work arrangements.
  • Employee assistance, wellbeing, family support, training, and learning opportunities.
  • Business Resource Groups supporting diversity, inclusion, and belonging.

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