Teams at AuxoAI

Owns end-to-end architecture and technical outcomes for enterprise Gemini AI deployments on GCP. Designs the GenAI platform, agent ecosystem, context graph, data foundation, governance, runtime, and adoption strategy. Advises executives, leads architecture reviews, resolves cross-track tradeoffs, owns technical proposals and estimates, manages delivery risk and costs, and develops delivery teams. Requires production GenAI delivery, cloud architecture, graph and semantic data expertise, regulated-environment experience, and senior client engagement leadership.

Design, build, maintain, and optimize scalable AWS and Databricks data pipelines and ETL processes. Collaborate with data scientists and analysts, improve data storage performance and cost efficiency, implement governance and security practices, troubleshoot pipeline issues, and recommend emerging technologies. The role requires strong programming, SQL, database, data warehousing, and big data expertise, with containerization and orchestration experience preferred.

Design and deploy production-grade AI agents and predictive ML systems for enterprise workflows. Responsibilities include architecting agent frameworks, tool orchestration, memory systems, decision loops, evaluation frameworks, and integrations with enterprise data platforms. Build, deploy, monitor, and optimize ML models and agent systems for reliability, latency, cost, throughput, observability, and security. The role requires strong Python engineering, cloud AI platform experience, distributed systems knowledge, and production ML delivery.