AI and Integration Architect

Tiger Analytics; United States; On-site; USD 140,000 - 190,000; Full time

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 solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

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

• AI Strategy & Architecture: 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
• Data Integration & APIs: Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures to connect disparate systems and power real-time AI applications
• AI & Data Governance: Establish guardrails for data privacy, compliance, and security regarding AI training data, model inputs, and API access management
• Cross-Functional Leadership: Collaborate with executive leadership, data scientists, and product teams to translate business goals into production-ready AI and integration strategies
• 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 provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.