AI and Integration Architect

Tiger Analytics Inc.

About The Position

This role sits at the intersection of artificial intelligence and robust enterprise integration. Define the technical blueprint for scaling AI adoption across the organization, focusing specifically on LLMs, RAG, and predictive analytics, while building the high-performance API and messaging backbones required to fuel these real-time systems.

Requirements

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

Nice To Haves

  • Preferred experience in Azure Databricks

Responsibilities

  • 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.

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.
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