AI Integration Architect

Tiger Analytics

AI and Integration Architect at Tiger Analytics defining technical blueprints for AI adoption. Architecting integrated AI solutions and high-performance APIs for real-time applications.

Posted 6/20/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AzureGraphQL

About the role

Key responsibilities & impact

Define the technical blueprint and roadmap for enterprise AI adoption.
Architect scalable frameworks for LLM integration, RAG, and predictive modeling.
Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures.
Establish guardrails for data privacy, compliance, and security regarding AI training data.
Collaborate with executive leadership, data scientists, and product teams to translate business goals into AI strategies.

Requirements

What you’ll need

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

Comp & perks

Significant career development opportunities exist as the company grows.
Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Equal employment opportunities without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software architecturesystem integrationmachine learning engineeringAI solutionsLLM integrationpredictive modelingAPI servicesRESTfulGraphQLevent-driven architecture

Soft Skills

collaborationcommunicationleadershipstrategic planning