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AI Tools Architect / Tech Lead

160 000 - 303 000$
Формат работы
hybrid
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
AI Tools Architect / Tech Lead (AI/Python): Designing and deploying AI personas, code review agents, and agentic workflows for engineering teams with an accent on LLM evaluation, AI-assisted development, and rapid tooling prototypes. Focus on benchmarking model effectiveness, integrating automation with GitHub Actions and CI/CD pipelines, and driving adoption across multiple teams.

Location: Hybrid, with an expectation of working an average of 2 days per week from an HPE office in the United States

Salary: Annual base salary of USD 160,000–303,000 in Colorado or USD 152,000–349,000 in Texas; variable incentives may also be offered.

Company

hirify.global is a global edge-to-cloud technology company helping organizations connect, protect, analyze, and act on data and applications.

What you will do

  • Track developments in AI coding tools and agentic workflows and drive promising ideas into implementation.
  • Author and maintain shared AI configuration artifacts, including organizational and team personas and prompt libraries.
  • Design and deploy AI personas for use cases such as security-focused pull request reviews and test coverage analysis.
  • Build, evaluate, and iterate AI-assisted code review agents and workflows.
  • Prototype AI-powered tooling in Python, including automation scripts, GitHub Actions integrations, and custom agents.
  • Partner with engineering teams, lead a small delivery team, and present findings and proposals to engineering leadership.

Requirements

  • 10+ years of software engineering experience with strong coding skills.
  • Hands-on experience using AI coding tools such as GitHub Copilot, ChatGPT, Claude, or similar in real engineering environments.
  • Experience serving as a technical lead for small, fast-moving, high-impact teams.
  • Experience driving technical change through documentation, tooling, or direct influence.
  • Experience with LLM evaluation techniques or AI model benchmarking and familiarity with CI/CD pipelines.
  • Strong communication and presentation skills; ability to work independently in ambiguous, multi-team environments.

Nice to have

  • Experience writing technical documentation, READMEs, runbooks, or similar artifacts.
  • Experience building a community of practice or working with open-source communities.

Culture & Benefits

  • Health, financial, and emotional wellbeing benefits for employees and their families.
  • Personal and professional development programs supporting career growth and movement across divisions.
  • Inclusive work environment that values varied backgrounds and individual uniqueness.
  • Flexible approach to managing work and personal needs.

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