13 часов назад
Technical Principal-Data & AI Enablement (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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