Senior Enterprise AI & Integration Architect

Tiger Analytics

United States

On-site

USD 140,000 - 190,000

Full time

11 days ago

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Job summary

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to tackle their toughest business challenges. We are pushing the boundaries of what AI can do, delivering data-driven certainty for a better tomorrow.

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 on LLMs, RAG, and predictive analytics, while

Qualifications

  • Architect scalable AI frameworks for LLM integration, RAG, and predictive modeling.
  • Design high-performance API services (REST/GraphQL) and event-driven architectures to connect systems and power real-time AI apps.
  • Establish guardrails for data privacy, compliance, and security for AI training data, model inputs, and API access management.
  • Collaborate with executives, data scientists and product teams to translate business goals into production-ready AI strategies.
  • 8+ years in software architecture, system integration, or ML engineering, with 2-3 years producing AI/LLM solutions.
  • Preferred experience in Azure Databricks.

Responsibilities

  • Define the technical blueprint for scaling AI adoption across the organization.
  • Lead cross-functional teams to productionize AI and integration strategies.

Skills

AI strategy
Architecture
API design
Governance

Tools

Azure Databricks

Job description

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to tackle their toughest business challenges. We are pushing the boundaries of what AI can do, delivering data-driven certainty for a better tomorrow.

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 on LLMs, RAG, and predictive analytics, while

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