Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. AI Engineer (Enterprise AI Platforms): Designing and operationalizing scalable enterprise AI platforms with an accent on MLOps/LLMOps, model lifecycle management, AI observability, and Responsible AI governance. Focus on defining architecture and technical guardrails, evaluating GenAI technologies, and guiding production-ready AI solutions across business, data, technology, and platform teams.
Location: Davie, Florida, US; on-site
Company
hirify.global delivers data, analytics, and AI engineering services.
What you will do
Lead the design and architecture of end-to-end enterprise AI platforms for scalability, reliability, and operational readiness.
Define frameworks for model lifecycle management, MLOps/LLMOps, AI observability, and production operationalization.
Establish Responsible AI principles, governance frameworks, compliance practices, and technical guardrails.
Drive platform-level technical decisions and translate AI strategy into production-ready solutions.
Evaluate emerging AI technologies and guide model, platform, framework, and architecture selection.
Collaborate with senior stakeholders to define the enterprise AI roadmap and platform strategy.
Requirements
At least 7 years of experience in data science and AI, including leadership in enterprise-scale AI platform design and operationalization.
Expertise in enterprise AI platform architecture, MLOps/LLMOps, model lifecycle management, and AI observability.
Deep understanding of Responsible AI, governance, compliance, GenAI architectures, LLMs, and AI orchestration.
Hands-on experience with cloud-based AI platforms including AWS, Azure, or GCP.
Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn.
Bachelor’s degree in computer science, data science, statistics, mathematics, or a related discipline.
Nice to have
Experience establishing enterprise AI Centers of Excellence or platform teams.
Knowledge of vector databases, RAG, AI agents, and reusable AI architecture patterns.
Experience with business intelligence, reporting automation, and mentoring cross-functional AI teams.
Data science, advanced analytics, cloud architecture, or AI platform engineering certifications.
Culture & Benefits
Employee position within the AI and Data Engineering department.
Equal employment opportunity across legally protected characteristics.
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