Tiger Analytics Inc.

Lead the end-to-end delivery of enterprise Agentic AI solutions for the Luma platform while serving as the primary technical interface for customers. Build and deploy Neo4j Knowledge Graph, RAG, and AI applications from rapid prototypes through production.

Lead enterprise MLOps on the Databricks Lakehouse platform by designing, automating, governing, and observing end-to-end machine learning production lifecycles. This hybrid role also serves as a client-facing technical authority responsible for enabling onsite engineering teams.

Forward Deployed Engineer driving the deployment, integration, and scaling of enterprise Generative AI solutions directly within customer engineering teams. The role combines agent development, retrieval systems, data pipelines, and multi-cloud infrastructure across AWS, Azure, and GCP.

Tiger Analytics is seeking a Forward Deployed Engineer to deploy, integrate, and scale enterprise Generative AI solutions within customer environments on Google Cloud. The role combines hands-on AI infrastructure engineering, LLM and retrieval-system deployment, and technical consulting for enterprise clients.

Build and support complex marketing automation, customer journeys, and integrations within Salesforce Marketing Cloud. This remote contract role focuses on connecting SFMC with data platforms, front-end applications, CRM systems, and external enterprise tools.

Lead the architecture and delivery of enterprise-scale Agentic AI solutions for the Luma platform while guiding multiple engineering teams. This hands-on technical leadership role combines AI engineering, cloud-native systems, client consulting, and team mentorship.

Forward Deployed Engineer responsible for deploying, integrating, and scaling enterprise generative AI solutions directly within customer engineering teams. The role builds intelligent agents, retrieval systems, and real-time data pipelines across AWS, Azure, and GCP environments.

Build production-grade Generative AI systems as a Gen AI Engineer, focusing on high-performance Python APIs, RAG pipelines, and agentic AI architectures on AWS. The role offers significant ownership in a fast-growing, entrepreneurial environment.