Solutions Architect
Collaborative Robotics- Full Time
- Senior (5 to 8 years)
Candidates must have at least 4 years of industry experience as a cloud engineer, with a strong background in Kubernetes and Terraform. A deep understanding of Azure components and familiarity with Azure's well-architected framework is essential.
The Solutions Architect will design and implement scalable, secure, and efficient cloud architectures using Azure, Kubernetes, and AI technologies. They will lead the deployment and ongoing support of Rogo's platform for major financial institutions, ensuring high availability and performance. The role also includes designing robust security measures to protect sensitive financial data and ensuring compliance with industry standards. Additionally, the Solutions Architect will forge relationships with customer leadership to ensure successful application deployment and foster a culture of innovation and collaboration within the engineering team.
Generative AI platform for financial institutions
Rogo provides a secure generative AI platform tailored for elite financial institutions, including investment banks, hedge funds, and asset management companies. The platform utilizes advanced large language models to search, analyze, and cite millions of documents, significantly reducing the time spent on manual research. This allows junior team members to focus on more valuable tasks while enabling executives to quickly access critical information. Rogo's business model centers on customizing its AI solutions to meet the specific needs of each client, ensuring that the platform understands the unique language and data of their operations. Revenue is generated through subscription fees and additional services like customization and support. The main goal of Rogo is to enhance productivity and decision-making in financial institutions, helping them save time, improve insights, and automate workflows.