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3 часа назад

Engineering Tech Lead, Data Platform – USDS (AI/Data Platform)

198 360 - 416 100$
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
Engineering Tech Lead, Data Platform – USDS (AI/Data Platform): Building scalable internal AI products, including conversational RAG systems and autonomous diagnostic engines, with an accent on distributed systems, data infrastructure, security, and cost efficiency. Focus on defining technical architecture, converting AI pilots into enterprise platforms, automating release governance, and enabling self-service data problem-solving across business units.

Location: Seattle, United States; fully in-person schedule up to 5 days a week

Salary: $198,360–$416,100 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates a U.S. data privacy and cybersecurity program designed to protect national security and secure U.S. user data, applications, and algorithms.

What you will do

  • Define the long-term roadmap and architecture for AI-driven internal products.
  • Design scalable, secure, and cost-efficient conversational RAG systems and autonomous diagnostic engines.
  • Identify workflow bottlenecks and build self-service data platforms for Legal, Finance, HR, and other business units.
  • Modernize release governance by integrating intelligent automation into the Meego pipeline.
  • Lead the platformization of AI pilots into enterprise standards for A/B testing and resource allocation.
  • Set engineering standards for code quality, design documentation, and resilience while mentoring engineers.

Requirements

  • BS, MS, or PhD in Computer Science, Engineering, or a related technical field.
  • 5+ years of professional software development experience and a record of leading large-scale projects from 0-to-1 through maturity.
  • Experience as a Technical Lead for a mid-to-large-sized team, including architectural oversight and cross-team influence.
  • Expertise in backend systems using Go, Python, Java, or C++.
  • Deep understanding of distributed systems and data infrastructure.
  • Ability to work in person in Seattle, up to 5 days per week.

Nice to have

  • Experience building and scaling LLM-based agents, complex RAG architectures, and human-in-the-loop systems.
  • Experience creating enterprise-scale internal productivity ecosystems, automated SQL engines, intelligent on-call bots, or large-scale A/B testing platforms.
  • Experience working within complex compliance and security environments.
  • Ability to communicate AI and infrastructure roadmaps to executive leadership and government relations stakeholders.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match, life insurance, and short- and long-term disability coverage.
  • Paid parental leave, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Wellbeing benefits and an inclusive workplace focused on curiosity, humility, resilience, and continuous innovation.

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