Agentic AI Architect I: Build Scalable AI Agents

RealPage; United States; Remote; USD 178,000 - 323,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Professional development

Performance-based bonus

Job summary

RealPage is seeking an Agentic AI Architect I to design scalable, reliable architectures for production-grade AI agents, supporting the AI Center of Excellence across product, engineering, and operations. You will translate business workflows into practical, reusable patterns and guide teams through architecture reviews and production-readiness assessments.

The role balances technical design with delivery speed, emphasizes reusable patterns, and requires collaboration with AI Platform, QA/Eval,

Qualifications

• Experience designing or building backend systems, distributed applications, workflow platforms, integration services, developer platforms, cloud applications, or AI-enabled solutions.
• Working knowledge of APIs, asynchronous processing, service coordination, event-driven architectures, stateful systems, and enterprise integrations.
• Understanding of architecture principles related to scalability, reliability, performance, availability, maintainability, security, and production support.
• Familiarity with LLM-based applications, AI agents, retrieval techniques, prompt and context management, tool calling, workflow automation, or model-driven products.

Responsibilities

• Design end-to-end architectures for agentic AI solutions, including orchestration, runtime execution, workflow management, tool invocation, system integrations, evaluation, observability, and supportability.
• Translate product requirements, business workflows, and customer use cases into clear technical designs and implementation plans.
• Define reusable patterns for multi-step agent behavior, task routing, handoffs, cross-system interactions, state management, and multi-agent coordination where appropriate.
• Partner with AI Platform teams to use shared orchestration, runtime, evaluation, reporting, monitoring, and developer-tooling capabilities.
• Collaborate with engineering teams during implementation through architecture reviews, design guidance, technical documentation, and production-readiness assessments.
• Evaluate architecture tradeoffs involving scalability, reliability, performance, security, maintainability, cost, developer experience, and delivery speed.
• Help define integration patterns for APIs, enterprise systems, data sources, tools, model services, and Model Context Protocol, or MCP, capabilities.
• Establish observability requirements, including logging, metrics, traces, dashboards, alerts, debugging workflows, and operational reporting.
• Partner with QA/Eval teams to incorporate evaluation criteria, regression coverage, testing strategies, and quality controls into agent architecture.
• Support release planning, launch-readiness reviews, production monitoring, incident response, and post-release improvement.
• Identify repeated solution patterns and recommend when they should become shared product or platform capabilities.
• Contribute to architecture standards, reference designs, technical decision records, implementation guidance, and reusable documentation.
• Help teams apply responsible AI, privacy, security, governance, and human oversight requirements throughout the solution lifecycle.
• Communicate technical decisions, dependencies, risks, and recommendations clearly to engineering, product, operations, and business stakeholders.

Skills

Backend systems

Distributed architectures

APIs

Cloud services

Observability

Security

Communication

Team collaboration

Tools

LLM tools

Model Context Protocol

Vector search

Agent orchestration frameworks

Job description

RealPage is seeking an Agentic AI Architect I to design scalable, reliable architectures for production-grade AI agents, supporting the AI Center of Excellence across product, engineering, and operations. You will translate business workflows into practical, reusable patterns and guide teams through architecture reviews and production-readiness assessments.

The role balances technical design with delivery speed, emphasizes reusable patterns, and requires collaboration with AI Platform, QA/Eval,