Build and operate production inference systems for Sapience AI’s models, optimizing serving performance, latency, reliability, scalability, and cost. Own model deployment and lifecycle, observability and operations, and platform decisions involving accelerators, runtimes, and serving frameworks.
The role is responsible for designing the data models, schemas, and representations that connect community knowledge to AI systems. You will own the data foundation, ensuring consistency, lineage, and quality across retrieval, reasoning, and model layers.
The Customer Success Manager will own the end-to-end customer lifecycle, including onboarding, retention, and expansion strategies. They will serve as the primary point of contact for stakeholders, driving product adoption and translating customer feedback into actionable product insights.
You will build and maintain the knowledge graph that structures community expertise for reasoning and retrieval. You are responsible for designing data pipelines, ensuring data quality, and preserving provenance to support the COGENT architecture.
You will lead the architectural direction of the COGENT system, fusing symbolic reasoning with neural models to create trustworthy, explainable AI. You are responsible for building and managing a specialized team to productionize these reasoning capabilities within the MINERVA platform.
The Principal AI Systems Architect owns the coherence, scalability, and trustworthiness of the entire platform architecture across all subsystems. You will set cross-cutting technical standards, make high-level architectural bets, and lead through influence to align specialized teams.
