AI Architect I

RealPage, Inc.

. Design end-to-end architectures for agentic AI solutions, including orchestration, runtime execution, workflow management, tool invocation, system integrations, evaluation, observability, and supportability.

Posted 10/15/2026full-timeRemote • Texas • United StatesMid-LevelSenior💰 $177,500 - $322,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing end-to-end architectures for AI solutions, focusing on integration patterns, observability, and production support. Proficient in translating business requirements into technical designs while ensuring scalability, reliability, and security.

Highest-signal resume keywords

AI Solution ArchitectureAPI IntegrationCloud Services DeploymentWorkflow AutomationTechnical Documentation

ATS Keywords

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Hard Skills

Backend System DesignDistributed ApplicationsEvent-Driven ArchitecturesAsynchronous ProcessingStateful SystemsModel-Driven ProductsTesting and EvaluationProduction SupportScalability PrinciplesSecurity Best Practices

Soft Skills

Strong Communication SkillsCollaboration Across TeamsAdaptability in Technical Environments

Tools & Technologies

Monitoring ToolsLogging SystemsDashboardsDeveloper ToolingIncident Management Systems

Industry Keywords

Responsible AI PracticesAI ObservabilityIntegration ServicesModel Context ProtocolMulti-Agent Coordination

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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 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.
Partner with AI Platform teams to use shared orchestration, runtime, evaluation, reporting, monitoring, and developer-tooling capabilities.
Collaborate with engineering teams through architecture reviews, design guidance, technical documentation, and production-readiness assessments.
Evaluate tradeoffs involving scalability, reliability, performance, security, maintainability, cost, developer experience, and delivery speed.
Define integration patterns for APIs, enterprise systems, data sources, tools, model services, and Model Context Protocol capabilities.
Establish observability requirements, including logging, metrics, traces, dashboards, alerts, debugging workflows, and operational reporting.
Partner with QA/Eval teams on evaluation criteria, regression coverage, testing strategies, and quality controls.
Support release planning, launch-readiness reviews, production monitoring, incident response, and post-release improvement.
Identify repeated solution patterns and recommend 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.
Communicate technical decisions, dependencies, risks, and recommendations to engineering, product, operations, and business stakeholders.

Requirements

What you’ll need

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.
Ability to convert business and workflow requirements into practical technical architectures.
Experience with cloud services, deployment pipelines, monitoring, logging, dashboards, and production troubleshooting.
Understanding of testing, evaluation, regression coverage, release readiness, and operational support for production systems.
Ability to evaluate technical alternatives and explain architecture tradeoffs to technical and nontechnical stakeholders.
Strong written and verbal communication skills, including the ability to produce clear diagrams, design documents, decision records, and implementation guidance.
Strong collaboration skills across engineering, product, QA/Eval, security, infrastructure, operations, and support teams.
Ability to work effectively in an evolving technical environment.
Preferred: experience designing or implementing production LLM applications, AI agents, workflow automation, or intelligent assistant solutions.
Preferred: familiarity with agent orchestration frameworks, model gateways, evaluation frameworks, vector search, retrieval-augmented generation, and AI observability.
Preferred: experience integrating AI solutions with enterprise platforms, internal services, APIs, data sources, and third-party tools.
Preferred: familiarity with Model Context Protocol, tool integration primitives, structured outputs, agent memory, workflow state, and multi-agent patterns.
Preferred: experience with responsible AI practices, including safety controls, access management, data protection, human oversight, and auditability.
Preferred: experience creating reusable reference architectures, platform patterns, technical standards, or architecture governance.
Preferred: familiarity with production incident management, reliability engineering, deployment strategies, and post-release support.
Relevant cloud, software architecture, data, security, or AI certifications are beneficial but not required.

Benefits

Comp & perks

Health, dental, and vision insurance.
Retirement savings plan with company match.
Paid time off and holidays.
Professional development opportunities.
Performance-based bonus based on position.
Certain roles are eligible for additional rewards, including annual bonus and sales incentives depending on the applicable plan, role, and individual performance.