AI Platform Architect

4 months ago

Responsibilities

Maintain and evolve platform architecture, service boundaries, and reusable primitives for AI systems.
Build and harden gateways, orchestration layers, shared tools, integration frameworks, and internal services.
Implement deployment patterns, CI/CD workflows, and infrastructure practices for reliable AI systems at scale.
Review, debug, and refine AI-generated code in mission-critical and shared systems.
Build observability, evaluation, feedback, usage telemetry, audit, and control systems.
Establish security boundaries, data access patterns, policy guardrails, and auditability for internal AI systems.
Collaborate with solutions engineers and stakeholders to create reusable platform capabilities.

Strong engineering fundamentals, including designing clear APIs, service boundaries, data models, and integration patterns.
Ability to write maintainable code and exercise sound judgment around reliability, security, operational quality, and system complexity.
Ability to turn ambiguous platform needs into durable systems and handle integrations, operational issues, and platform hardening.
Daily experience using AI coding agents or agentic development workflows, plus demonstrated interest in AI through projects, experiments, evaluations, or sustained use of new models and tools.
Ability to evaluate and refine AI-generated code and reason about agent harnesses, tools, workflows, leverage, and evaluation loops.
Comfort building shared systems, enabling other engineers, and collaborating across engineering, security, and operational contexts.
Experience with internal developer platforms, API gateways, control planes, multi-tenant systems, regulated or high-reliability environments, cloud infrastructure, DevOps, security, controls, operational software, or AI-driven workflows is preferred.
Must be based in the United States, willing to work onsite in Austin, Texas, and qualify as a U.S. Citizen or U.S. Person under 10 CFR Part 810.

51-200 employees