54 минуты назад
AI Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Architect (Generative AI/Cloud): Defining enterprise AI strategy, architecture, platforms, and production solutions across Generative AI, Machine Learning, Agentic AI, and intelligent automation with an accent on scalability, security, compliance, and governance. Focus on designing RAG and multi-agent systems, integrating AI with enterprise data and applications, and leading cloud architecture across Azure and AWS.
Location: Argentina
Company
is a luxury hospitality and yacht brand focused on delivering high-standard guest experiences at sea.
What you will do
- Define enterprise AI architecture standards, technology roadmaps, governance frameworks, and operating models.
- Design end-to-end solutions for Generative AI, Large Language Models, AI agents, Machine Learning, predictive analytics, and intelligent automation.
- Architect scalable AI platforms and cloud solutions across Azure and AWS, including model hosting, vector databases, data pipelines, and deployment patterns.
- Design Retrieval Augmented Generation architectures, multi-agent systems, orchestration frameworks, and model evaluation practices.
- Define data and integration strategies for ERP systems, CRM platforms, data warehouses, APIs, and enterprise applications.
- Lead architecture reviews, risk assessments, model validation, stakeholder communication, and mentoring across AI delivery initiatives.
Requirements
- 10+ years of experience in enterprise technology architecture and 5+ years designing and implementing AI/ML solutions.
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
- Experience leading large-scale enterprise transformation initiatives and delivering cloud-native solutions in Azure, AWS, or GCP.
- Expertise in Generative AI, LLMs, AI agents, Machine Learning, Deep Learning, NLP, Computer Vision, and MLOps.
- Technical experience with Python, SQL, REST APIs, microservices, Docker, Snowflake, vector databases, data lakes, and ETL/ELT pipelines.
- Strong background in enterprise, solution, security, AI, and data governance, plus executive communication and stakeholder management.
Nice to have
- Master's degree in a relevant field.
- AWS Certified Solutions Architect Professional, AWS Machine Learning Specialty, or TOGAF certification.
- Experience with Azure AI Services, Azure OpenAI, AWS Bedrock, Amazon SageMaker, Google Vertex AI, Dynamics 365, or Salesforce.
Culture & Benefits
- Full-time employment within a luxury hospitality organization.
- Culture centered on trust, honesty, respect, integrity, commitment, quality, and professional development.
- Equal opportunity and inclusive employment practices based on merit, competence, and qualifications.
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