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13 часов назад

Technical Principal-Data & AI Enablement (AI)

Формат работы
hybrid
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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Текст:
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TL;DR
Technical Principal-Data & AI Enablement (AI): Leading enterprise data modernization and AI transformation across cloud-native platforms, with an accent on generative AI, machine learning, and responsible AI adoption. Focus on designing LLM and RAG architectures, guiding MLOps/LLMOps and AI governance, and influencing enterprise-wide technology strategy.

Location: Irving, Texas, United States; hybrid work with a minimum of two days per week in the Irving office.

Company

hirify.global is a corporate automotive finance company using cloud-native technologies, data platforms, and AI to modernize customer interactions and operations.

What you will do

  • Lead high-impact enterprise initiatives involving AI, machine learning, generative AI, cloud, and data platforms.
  • Advise senior business and technology leaders on AI-enabled solutions, technical strategy, investment, and risk.
  • Drive adoption of LLMs, RAG architectures, MLOps/LLMOps, event-driven AI systems, and advanced analytics platforms.
  • Translate business priorities into fit-for-purpose AI and data architectures that deliver measurable value.
  • Promote responsible AI practices covering ethics, regulation, security, bias mitigation, explainability, and compliance.
  • Represent hirify.global in AI and technology communities while fostering collaboration, mentoring, and knowledge sharing.

Requirements

  • 10+ years of experience in technology leadership focused on enterprise architecture, AI/ML, cloud, and data platforms.
  • 3–5 years mentoring technical teams and leading AI-enabled transformation initiatives.
  • 3–5 years leading projects and influencing outcomes through technical thought leadership.
  • Deep knowledge of cloud-native architectures, data platforms, and AI ecosystems including Azure AI, Databricks ML, Azure OpenAI, and Cognitive Search.
  • Expertise in LLMs, prompt engineering, RAG patterns, model lifecycle management, AI governance, and responsible AI frameworks.
  • High school diploma or equivalent required; a degree in computer science, data science, engineering, or a related field is preferred. Related certifications or licenses are required.

Nice to have

  • Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or a related field.
  • Membership in and recommendation by an accredited professional association.

Culture & Benefits

  • Flexible hybrid work environment with regular office collaboration.
  • 401(k) matching and a generous benefits package available from the first day.
  • 12 weeks of fully paid bonding leave for new parents.
  • Tuition assistance, training, community service pay, and nine company holidays.
  • GM employee auto discount and a culture focused on innovation, integrity, belonging, and professional development.

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