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Solutions Architect (AI)

129 900 - 210 210$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Solutions Architect (AI): Guiding enterprise customers through the implementation of AI-powered applications and platforms using hirify.global with an accent on feature-gated rollouts, LLM experimentation, and agentic workflow governance. Focus on building production-quality integrations, establishing best practices for AI delivery, and solving complex technical challenges in customer environments.

Location: Must be based in the United States

Salary: $129,900 – $210,210 (based on geographic pay zones)

Company

hirify.global is a leading feature management platform that helps engineering teams innovate faster and ship software safely by decoupling deployment from release.

What you will do

  • Partner with customers to implement feature management into LLM-powered applications, agentic workflows, and internal AI platforms.
  • Contribute to reference implementations and prototypes by writing production-quality code in customer repositories.
  • Instrument AI systems with hirify.global at inference-time and workflow-level decision points.
  • Develop rollout patterns for AI progressive exposure, guardrails, and model experimentation.
  • Gather requirements from customer architectures and provide creative, practical technical solutions.
  • Share customer feedback with internal Product and Engineering teams to influence AI-related capabilities.

Requirements

  • 5+ years of experience in enterprise software, platform engineering, or solutions architecture.
  • Must be based in the United States.
  • Proficiency in writing production-quality code in Python, Java, JavaScript/Node.js, or Go.
  • Hands-on experience with AI-assisted development tools and modern release practices like CI/CD and experimentation.
  • Strong grasp of cloud infrastructure (AWS, Azure, or GCP), Linux, and containerization.
  • Ability to travel up to 20% of the time.

Nice to have

  • Understanding of Model Context Protocol (MCP) or similar agent-based approaches.
  • Experience delivering across the full SDLC in complex enterprise environments.

Culture & Benefits

  • Comprehensive health, vision, and dental insurance.
  • Mental health benefits and support.
  • Equity participation via Restricted Stock Units (RSUs).
  • Transparent pay structure based on geographic zones.
  • Collaborative, humble, and inclusive team environment.

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