AI and Integration Architect
Tiger Analytics Inc.4 months ago
Remote, United StatesSenior
Responsibilities
- Define the technical blueprint and roadmap for enterprise AI adoption.
- Architect scalable frameworks for LLM integration, RAG, and predictive modeling with attention to cost efficiency, scalability, and ethical AI standards.
- Design secure, high-performance RESTful and GraphQL API services and event-driven architectures for real-time AI applications.
- Establish data privacy, compliance, security, and API access-management guardrails.
- Collaborate with executive leadership, data scientists, and product teams to develop production-ready AI and integration strategies.
Requirements
- Require 8+ years of experience in software architecture, system integration, or machine learning engineering.
- Require 2–3 years dedicated to productionizing AI/LLM solutions.
- Prefer experience with Azure Databricks.
Benefits
- Remote work in the United States.
- Significant career development opportunities.
- Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.
Tech Stack
DatabricksGraphQL
Categories
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.