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Tiger Analytics

AI and Integration Architect

УдалённоUnited States, Canada только
Опубликовано
Роль
AI / ML
Опыт
Лид
Размер компании
Крупная
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Доступно для: US, CA only. Укажите, откуда вы работаете, чтобы проверить доступность.

Коротко по делу

Architect with 8+ years in software architecture, system integration, or ML engineering, including 2–3 years productionizing AI/LLM solutions. Must design LLM, RAG, predictive analytics, APIs, messaging, and governance for enterprise AI. United States or Canada only.

Ключевые навыки

LLMRAGAPI

Обязательные навыки

RESTGraphQLEvent-driven architecture

Желательные навыки

Azure Databricks

Чем предстоит заниматься

  • Define the technical blueprint and roadmap for enterprise AI adoption.
  • Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring cost-efficiency, scalability, and ethical AI standards.
  • Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures to connect disparate systems and power real-time AI applications.
  • Establish guardrails for data privacy, compliance, and security regarding AI training data, model inputs, and API access management.
  • Collaborate with executive leadership, data scientists, and product teams to translate business goals into production-ready AI and integration strategies.

Что требуется

  • 8+ years of experience in software architecture, system integration, or machine learning engineering, with at least 2-3 years dedicated to productionizing AI/LLM solutions.
  • Preferred experience in Azure Databricks

Преимущества

  • Significant career development opportunities exist as the company grows.
  • The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics is a leading advanced analytics consulting firm specializing in AI and machine learning. It is a trusted analytics partner for several Fortune 100 companies, helping them generate business value from their data.

AnalyticsКрупная

Что говорят о компании

3.8/ 5

  • Employees appreciate the supportive work culture.
  • There are good opportunities for professional development.
  • Some employees mention a lack of work-life balance.
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