AuxoAI Benefits Overview

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.

Design, develop, and maintain scalable AWS-based data pipelines and ETL processes. Collaborate with data scientists and analysts to support analytics and machine learning initiatives. Optimize data storage, retrieval, performance, reliability, and cost. Implement governance and security best practices, troubleshoot pipeline issues, monitor systems, and recommend emerging technologies.

Lead the AWS practice’s technical strategy, architecture, delivery quality, customer engagements, and partnership initiatives. Design enterprise cloud, data, AI, and generative AI solutions; guide complex transformation programs; support executive briefings and presales; and establish governance and technical standards. Build reusable AWS solution assets, mentor architects and engineers, drive certifications, and help grow the consulting practice and revenue.