Architect - GENART

Position Title:Principal Full-Stack AI Engineer — Platform ArchitectLocation:Hybrid / New York, NYDuration:Full-timeRate range:$ /hrBasic Qualifications:Principal-level full-stack experienceDistributed systems & platform engineering expertiseCloud depth with a portable mindsetHands-on GenAI / agentic engineeringSecurity & governance by designAI-assisted engineering proficiencyStrong software engineering backgroundRequired Skills:Building production services end to endKubernetes, containers, IaC (Terraform), CI/CD, secrets/RBAC, and multi-tenant service designStrong on GCP (GKE, Vertex AI, IAM, VPC Service Controls, BigQuery)LLM and agent runtimes, multi-agent and sub-agent orchestration, A2A and MCP/tool integrationIdentity-aware access, PII/PHI handling, runtime guardrails, gateway/policy-as-code, and audit/observabilityFluent with AI coding tools (Cursor, Claude Code, Copilot, Windsurf or equivalent)Strong Python skills (and typically one of Go / Java / TypeScript)Preferred Qualifications:Not specifiedRole and responsibilities:Design the reference architecture and personally build the hardest pieces of the platformOwn the paved road — the reference architecture and the reusable registration patternBuild the lifecycle registries and AI control-plane servicesDevelop the agent-building paved road for quick deployment of new agentsDeliver platform features as agents where applicableEnsure portability in code by containerizing everythingSet the engineering bar for testing, CI/CD, IaC, and security-by-default standardsMentor senior engineers and review the team's hardest designs and pull requestsBuild with AI and develop agents end to endJob description:The most senior engineer on the team, serving as the technical anchor for the platform. Responsible for designing the reference architecture and personally building the most challenging components such as lifecycle registries, AI control-plane services, and harness/memory services. The role involves setting patterns for the team, building the agent-building paved road, delivering platform features as agents, enforcing code portability, and setting high engineering standards. The candidate will also mentor senior engineers and contribute to building with AI.