Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.
The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams, drive engineering excellence, and partner closely with client leadership to shape the AI roadmap and ensure successful delivery.
Requirements
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.
Lead the design and delivery of production-grade agentic AI systems while embedding AI agents into software development workflows to improve engineering productivity, reliability, and quality.
Design, build, and deploy production AI solutions for enterprise clients, owning work across architecture, application development, agentic workflows, cloud deployment, evaluation, and operationalization.
Shape AI architecture and technical strategy for enterprise-scale systems, delivering production-ready agentic AI, safety controls, real-time data pipelines, and scalable SaaS capabilities.
Own the architecture and hands-on development of a production autonomous agent platform, building multi-agent orchestration, self-improving systems, and AI-powered backend services.
Lidera tecnicamente o desenvolvimento de ferramentas, protótipos e soluções com IA, transformando hipóteses de negócio em MVPs e orientando decisões de arquitetura, produto e evolução com base em aprendizado e impacto.
