Skip to main content
Tiger Analytics

AI and Integration Architect

RemoteUnited States, Canada only
Published
Role
AI / ML
Experience
Lead
Company size
Enterprise
Salary not disclosed
Check eligibility

Open to US, CA only. Set where you work from to check your eligibility.

No BS summary

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.

Core skills

LLMRAGAPI

Required skills

RESTGraphQLEvent-driven architecture

Optional skills

Azure Databricks

What you'll do

  • 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.

What they require

  • 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

Benefits

  • 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.

AnalyticsEnterprise

What people say about this company

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.
Salary not disclosed