Teams at Percepta AI

Build and scale infrastructure for AI research across world modeling, forecasting, user modeling, and optimization. Prototype and deploy AI systems in production, partner with customers and stakeholders, and contribute reusable capabilities to the Mosaic platform. The role requires distributed systems expertise, ownership in ambiguous environments, strong communication, and the ability to translate research concepts into reliable, deployed products.

Own the research organization’s operating rhythm across world modeling, forecasting, user modeling, and optimization. Track roadmaps, milestones, dependencies, shared infrastructure allocation, commitments, risks, and external delivery timelines. Build trackers, dashboards, and documentation while coordinating Research Leads, Product Managers, Applied AI Engineers, and stakeholders. The role requires technical fluency, operational rigor, communication skills, ambiguity tolerance, and experience managing complex multi-team technical work.

Owns infrastructure, deployment, reliability, and observability for multi-cloud AI systems and autonomous agents. Responsibilities include Terraform-based infrastructure across AWS, Azure, and GCP; managed Kubernetes; incident response; SLOs; on-call operations; compliance automation for HIPAA and SOC 2; customer environment provisioning; and developer deployment platforms. The role also operates observability tooling and supports production AI, inference, and research-to-production workflows.