You will develop machine learning solutions and orchestrate complex agentic workflows while contributing to the company's proprietary AI operations platform. Your role involves working directly with customers and cross-functional teams to build, monitor, and optimize reliable AI systems for mission-critical deployments.
You will develop machine learning solutions and orchestrate complex agentic workflows to build reliable AI systems. Your work involves direct customer collaboration and contributing to the company's proprietary AI operations platform, Chariot.
You will be a core contributor to building the next generation of an AI/ML operations platform by turning technical requirements into intuitive and reliable user experiences. You will collaborate closely with data scientists, product designers, and engineers to ensure the platform remains maintainable and accessible.
This is a general talent community submission for candidates interested in building mission-driven AI systems. You will be considered for future roles focused on monitoring performance and managing drift in deployed AI models.
You will own the collateral library and translate complex technical inputs into compelling sales and marketing assets for AI products. Additionally, you will collaborate with product managers and technical teams to ensure messaging alignment and support industry conference operations.
The Senior DevOps Engineer will maintain, optimize, and enhance on-premises and cloud computing environments while managing software deployments using Infrastructure-as-Code. They will also act as a liaison between platform developers and customer-facing teams to ensure the efficient functioning of AI operations.
You will lead technical execution and design AI-powered solutions while serving as a customer-facing leader for mission-critical projects. Your role involves orchestrating complex data pipelines, mentoring cross-functional teams, and translating customer requirements into scalable technical architectures.
