remote
AI and Integration Architect - Tiger Analytics
Software Engineer
Lead the design and deployment of enterprise‑scale AI solutions, focusing on LLMs, RAG, and robust integration across cloud and on‑prem environments. Drive architectural strategy, data flow, and system reliability for Fortune 1000 clients.
About the role
Key Responsibilities
- Architect end‑to‑end AI solutions that integrate Large Language Models and Retrieval‑Augmented Generation into existing enterprise systems.
- Design scalable data pipelines and data lake architectures to support high‑volume, low‑latency AI inference.
- Collaborate with data, security, and platform teams to ensure compliance, governance, and performance across cloud and hybrid environments.
- Lead technical workshops and proof‑of‑concepts to validate AI concepts and demonstrate business value.
- Document best practices, design patterns, and operational guidelines for AI deployment at scale.
Requirements
- 5+ years of experience in AI/ML architecture, with a strong focus on LLMs and RAG.
- Proficiency in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes).
- Hands‑on experience building data pipelines using Spark, Flink, or similar technologies.
- Deep understanding of data governance, security, and compliance in enterprise settings.
- Excellent communication skills and a proven ability to translate complex technical concepts to business stakeholders.
Skills
machine learningllmraggraphqlazuredatabricks