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56 минут назад

Lead, AI Engineering & SDLC Automation (AI)

167 328 - 261 450$
Формат работы
remote (только USA)
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
Lead, AI Engineering & SDLC Automation (AI): Building AI engineering tools, agentic workflows, copilots, and SDLC automation integrated with development platforms and delivery pipelines with an accent on developer productivity, secure integration, and responsible AI governance. Focus on shaping technical strategy, designing evaluation and safety guardrails, and leading adoption of automation across cross-functional engineering teams.

Location: US-CA-Santa Clara, with an option to work remotely

Salary: $167,328–$261,450 per year, plus eligibility for bonus, stock, and benefits.

Company

hirify.global develops technology and supports software engineering, platform engineering, and productivity solutions across its Productivity Solutions Division.

What you will do

  • Provide technical leadership for AI engineering and SDLC automation across the division.
  • Shape the strategy, roadmap, and delivery approach for AI-enabled software engineering.
  • Design and deliver engineering tools, AI agents, copilots, agentic workflows, and automation.
  • Integrate AI capabilities into CI/CD pipelines, developer workflows, platform services, and paved roads.
  • Establish governance, evaluation methods, safety guardrails, usage controls, and secure integration patterns.
  • Lead cross-functional initiatives from experimentation through implementation, adoption, and measurement.

Requirements

  • Typically 8+ years of experience in software engineering, platform engineering, DevOps, developer productivity, workflow automation, SDLC automation, or related areas.
  • Bachelor’s or Master’s degree in computer science, engineering, or a related field, or equivalent experience.
  • Strong experience building integrations, automation, APIs, developer tooling, or platform capabilities.
  • Hands-on experience with AI agents, copilots, LLM-based solutions, agentic workflows, or similar technologies.
  • Experience with CI/CD, SDLC tooling, developer workflows, and cloud or platform services.
  • Ability to lead technical work across teams, communicate complex topics clearly, and balance productivity with quality, reliability, security, cost, and responsible AI use.

Culture & Benefits

  • Remote work option for a full-time schedule.
  • Occasional travel may be required.
  • Day shift with no specified end date.
  • Eligibility for bonus, stock, and benefits.
  • Work includes collaboration with DevSecOps, Security, Quality Engineering, IT, platform, and engineering teams.

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