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2 дня назад

Engineering Manager, AI Platform

Формат работы
remote (только USA)
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
Engineering Manager, AI Platform (Machine Learning/Agentic AI): Lead the AI Platform organization building shared ML pipelines, enrichment services, and an agents runtime for AI-powered national security workflows with an accent on reliability, observability, evaluation, security, and scalable operations. Focus on designing durable agent execution, setting platform standards, making architectural tradeoffs across data, ML, agents, and cloud infrastructure, and developing high-performing engineering teams.

Location: Remote within the United States. U.S. Citizenship is required to access U.S.-only data systems. Willingness to travel to offsites, team syncs, and customer sites is required.

Company

hirify.global is a defense technology company developing agentic AI and decision-support systems for national security and mission-critical operations.

What you will do

  • Lead the AI Platform organization, defining technical direction, operating models, and roadmaps.
  • Build reliable ML enrichment pipelines, shared services, and operational standards used across products.
  • Scale the agents runtime with durable execution, orchestration, state and workflow management, observability, evaluation, and quality controls.
  • Establish reusable interfaces, platform primitives, and engineering practices for AI-enabled product development.
  • Partner with Product, Design, Mission, Security, and Infrastructure teams to prioritize platform investments and manage operational risk.
  • Recruit, mentor, and develop engineers and engineering leaders while fostering technical excellence and mission impact.

Requirements

  • 3+ years of experience as an engineering manager leading and developing software engineering teams.
  • 5+ years of hands-on machine learning experience and 2+ years building agentic AI systems in production.
  • Experience building platforms used by multiple internal product or engineering teams.
  • Strong knowledge of production AI/ML and agent systems, including orchestration, evaluation, observability, reliability, quality, and cost management.
  • Proficiency with Python, PostgreSQL or relational databases, AWS or other cloud services, and distributed-system and workflow-engineering patterns.
  • U.S. Citizenship required; willingness to travel to offsites, team syncs, and customer sites.

Nice to have

  • Experience with LangGraph, Temporal, Agno, or similar agent and workflow orchestration frameworks.
  • Experience with ML platforms, data pipelines, model evaluation, retrieval, or enrichment systems.
  • Experience building secure and reliable systems in regulated or mission-critical environments.
  • Active security clearance or ability and willingness to obtain one.
  • Defense, national security, or intelligence software experience.

Culture & Benefits

  • Remote-friendly work with WeWork access.
  • Health, dental, and vision insurance.
  • Unlimited PTO, federal-holiday downtime, and company-wide year-end time off.
  • 401(k) match and lifestyle and wellbeing stipends.
  • Fully paid parental leave and child and pet care reimbursement during travel.
  • Salary top-up during military reserve duty.

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