Teams at Percepta AI

Own and evolve infrastructure for autonomous AI systems across AWS, GCP, and Azure. Build Terraform and Kubernetes platforms, CI/CD pipelines, observability for agent decisions, monitoring, alerting, incident response, and reliability practices. Collaborate across engineering teams to meet compliance requirements in regulated environments. The role also involves developing infrastructure patterns for multi-agent systems and supporting the transition of AI and research workflows into production.

Lead full-cycle technical recruiting from sourcing through closing. Build candidate pipelines, develop innovative sourcing and recruiting programs, partner with hiring managers and candidates, analyze recruiting data, improve processes, support university and early-talent initiatives, and deliver an exceptional candidate experience in a high-growth AI company.

Lead and develop a team of Applied AI Engineers while remaining hands-on in production code. Own technical outcomes, architecture decisions, engineering standards, customer technical relationships, hiring, and delivery across ambiguous enterprise environments. Partner with engagement and growth leaders, provide deliberate coaching and feedback, support customer deployments, and translate field insights into improvements for Mosaic, the company’s AI deployment toolkit.