Teams at Inviso Corporation

Build and operate production AI capabilities, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost and latency optimization. Develop reliable, measurable, safe AI systems; create evaluation harnesses and quality controls; monitor production behavior; and collaborate with backend, platform, product, and security teams in a client-facing consulting environment.

Lead governance, risk, and compliance activities for an enterprise AI platform, including SOC 2 and ISO 27001 readiness, control definition, evidence collection, audit preparation, customer security documentation, data handling, and compliance-by-design. Partner with engineering, security, product, auditors, and client stakeholders to automate practical controls, address gaps, support assessments, and strengthen customer assurance.

Design, build, deploy, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, orchestration, entitlements, tenancy, metering, integrations, governed data access, and platform services. The role requires ownership of reliable distributed systems, including testing, monitoring, failure handling, and operational support, while collaborating with client product, engineering, data, and platform stakeholders in a consulting environment.