Design, build, deploy, and maintain end-to-end machine learning solutions on AWS, including data preparation, model development, production applications, and monitoring. Work with customers and engineering teams to translate business needs into practical solutions, and create technical documentation and reusable architectures.
The architect will design and implement end-to-end GenAI solutions, including RAG architectures and data ingestion pipelines. They are responsible for owning the technical architecture, ensuring production-grade deployment, and communicating decisions to senior stakeholders.
The Solution Architect will design, develop, and implement cloud-based solutions using the Microsoft Power Platform while integrating them into the firm's application portfolio. They are also responsible for data integration strategy, ensuring security compliance, and providing technical support for delivered solutions.
The Senior Database Architect will lead SQL Server modernization efforts and design robust multi-region database architectures. They are responsible for executing migration strategies to AWS Aurora PostgreSQL while ensuring optimal performance and high availability.
You will augment the engineering team to build an agentic workflow-orchestration platform by evaluating infrastructure choices and designing composable workflow steps. You will work under client direction to implement solutions that integrate LLM and AI agent tool-use into platform workflows.
The role involves building and deploying production-grade multi-agent AI workflows and RAG systems within a secure cloud environment. You will collaborate with architects and stakeholders to implement automated data reconciliation and human-in-the-loop processes.
