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5 дней назад

Senior Technical Director (AI)

200 500 - 270 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Technical Director (AI): Leading the machine learning and algorithmic strategy for enterprise mainframe operational analytics products with an accent on high-volume telemetry and system performance. Focus on architecting large-scale ML systems, driving technical best practices, and mentoring senior engineering talent to deliver scalable, explainable AI solutions.

Location: Must be based in the United States

Salary: $200,500–$270,000

Company

A leading provider of enterprise modernization software focused on applying AI to mission-critical systems.

What you will do

  • Define and lead the machine learning and algorithmic strategy across infrastructure, application, and data modernization business lines.
  • Architect large-scale ML and data processing systems operating on high-volume operational data like z/OS telemetry and log streams.
  • Act as a hands-on technical leader, guiding teams through the full feature lifecycle from problem framing to operationalization.
  • Establish technical standards for model training, evaluation, explainability, and lifecycle management.
  • Collaborate with domain experts to translate system knowledge into scalable, data-driven intelligence.
  • Mentor senior technical staff and contribute thought leadership on applied AI and enterprise analytics.

Requirements

  • 12+ years of experience in software engineering, ML systems, or advanced algorithm development.
  • Proven track record of delivering ML or algorithmic systems into production at scale.
  • Strong coding skills in Python and Java with foundations in optimization and statistics.
  • Experience building analytics solutions tied to system behavior, performance, or observability.
  • Demonstrated ability to lead through technical influence across organizational boundaries.
  • Must be authorized to work in the United States.

Nice to have

  • Strong experience with mainframe systems (z/OS, SMF, RMF, Db2).
  • Familiarity with distributed computing frameworks like Spark, Flink, or Ray.
  • PhD in Computer Science, Machine Learning, or a related field.
  • Experience designing explainable or compliance-aware ML solutions.

Culture & Benefits

  • Unlimited vacation time plus paid holidays and sick leave.
  • Comprehensive health and wellness coverage for employees and dependents.
  • Fidelity 401(k) and Roth retirement savings with matching contributions.
  • Monthly student debt benefit program.
  • Tuition and certificate reimbursement opportunities.
  • Leadership and skills training programs.

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