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3 дня назад

Lead AI Engineer (AI)

133 847 - 194 078$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/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
Lead AI Engineer (AI/LLM): Architecting and building Blattner's core AI platforms, including production LLM and agentic applications for construction and project data with an accent on retrieval, tool orchestration, evaluation, and enterprise integrations. Focus on establishing scalable engineering standards, integrating Azure and enterprise data systems, and owning platform adoption, observability, security, and operating costs.

Location: Primarily hybrid in the United States; remote may be considered for a strong candidate. Valid independent U.S. work authorization is required. Visa sponsorship for H-1B visas or permanent residency is not available.

Salary: $133,847–$194,078 per year.

Company

hirify.global develops renewable energy infrastructure and has extensive experience delivering utility-scale wind, solar, and energy storage projects in the United States.

What you will do

  • Own the end-to-end architecture and delivery of a core AI software platform from prototype through production and long-term enhancement.
  • Build production LLM and agentic applications using retrieval over project and construction data, agent and tool orchestration, context engineering, and human-in-the-loop review.
  • Integrate AI solutions with Procore, Salesforce, Bluebeam, ERP and finance systems, and the Microsoft Fabric data foundation.
  • Set engineering standards for repository structure, testing, model evaluation, releases, observability, cost monitoring, consumption tracking, and security reviews.
  • Provide technical direction to AI Engineers, Data Engineers, and Full Stack Application Developers while partnering with a Senior AI Product Manager.
  • Remain accountable for platform adoption, operating costs, maintainability, and extensibility after launch.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • At least 8 years of professional experience in Machine Learning, AI Engineering, or related fields.
  • Production experience with LLM application patterns, including retrieval, agents, tool use, MCP or comparable tool-calling frameworks, and systematic evaluation.
  • Strong understanding of cloud and data platforms, with Azure and Databricks preferred, including Azure AI Foundry.
  • Valid, independent U.S. work authorization is required; H-1B and permanent residency sponsorship are unavailable.

Culture & Benefits

  • Primarily hybrid work environment with remote consideration for highly qualified candidates.
  • Competitive compensation.
  • Employer-paid HDHP insurance premiums for employees.
  • 401(k) with company match, HSA and FSA options, and dental and vision insurance.
  • Tuition reimbursement, work/life balance, employee- and family-focused culture, and an on-site gym.

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