AI Application Architect

Summary by AIEngineer.careers

AI Application Architect is a AI Solutions Architect role (full-time). with Procore. in AUSTIN, US. Compensation shown: $233K–$321K. Imported listing (source: diversityjobs.com). Apply on the employer's site (diversityjobs.com).

Imported listing (source: diversityjobs.com) · Apply on diversityjobs.com

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AUSTIN · US

$233K–$321K

Full-time

PRINCIPAL

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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from diversityjobs.com

Procore seeks an AI Application Architect to lead the technical design and evolution of its AI-powered product suite. You will own architecture for AI-native applications spanning agent orchestration, RAG pipelines, LLM infrastructure, and developer tooling, and set standards for security, observability, and scalability. The role partners closely with engineering leads, product managers, and ML practitioners to bring ambitious AI capabilities into production.

Responsibilities

Define architecture for AI-native applications including agentic systems, RAG pipelines, multi-model inference layers, and human-in-the-loop workflows
Drive infrastructure decisions for scalable AI workloads such as vector databases and workflow orchestration
Design and govern the integration layer between LLMs and backend services, including prompt management and cost governance
Lead LLMOps and observability strategy including tracing, evaluation pipelines, and drift detection
Establish security and compliance posture for AI systems
Champion engineering standards and mentor senior engineers

Requirements

10+ years of software engineering with 5+ years in a principal/staff or architect-level role
Hands-on experience designing and shipping production LLM-powered applications
Experience shipping complex user-facing application platforms in SaaS or enterprise software
Ability to lead full-stack teams with React, TypeScript/Node.js, and Python backend and API design
Deep understanding of enterprise requirements: RBAC/ABAC, audit logging, compliance, multi-tenant governance
Strong grasp of cloud-native architecture on AWS, GCP, or Azure
Solid understanding of API security including OAuth2, CSRF, rate limiting, and zero-trust principles

Nice to Have

Experience with MCP or comparable tool-calling/plugin infrastructure
Familiarity with workflow orchestration engines such as Temporal or Prefect
Exposure to LLM evaluation frameworks including automated judging and red-teaming
Background in developer-facing products or internal AI platforms
Understanding of supply chain security for ML models
Contributions to open-source AI tooling or published architectural writing

Benefits

Equity / stock optionsbonus

Tech Stack

AirflowAnthropicArizeAWSAzureGCPGeminiHelmKubernetesLangfuseLLMsMCPMilvusNode.jsOAuth2OpenAIOpenTelemetrypgvectorPrefectPythonRAGReactTemporalTypeScript

Procore

Carpinteria · US · 4000+ employees

Procore is a cloud-based construction management software company that provides a unified platform for construction professionals. Their software streamlines project management, document control, financial tracking, and collaboration across the entire construction lifecycle.