Sr. AI Platform Engineer HYBRID

RealPage, Inc.; Richardson (TX); Hybrid; USD 105,800 - 180,200; Full time

Benefits offered by this job

Health, dental, vision insurance

Job summary

RealPage, Inc. is seeking a Senior Engineer to translate responsible AI agent strategies into repeatable infrastructure and automated delivery pipelines. The role combines hands-on AI platform work with governance, observability, secure deployment, and mentoring across technical teams.

Initial focus includes scalable CI/CD, cloud-platform automation, and cost-security tradeoffs. You will contribute to design reviews, foster best practices, and drive production readiness across multiple teams in

Qualifications

• 8–10 years in engineering with 7+ years on production cloud systems.
• 2–3 years using AI coding tools to automate platform tasks.
• Strong cloud experience with GCP/AWS, Docker, Kubernetes, Terraform, Helm.
• Auth/OAuth, IAM, RBAC, and secure API access knowledge.
• 4+ years scripting with Python/JavaScript; Linux troubleshooting.

Responsibilities

• Define standards-based deployment patterns for responsible AI agents and secure runtimes.
• Automate AI platform buildout, release standardization, environment provisioning, CI/CD, and deployments.
• Operate reliable AI platform services with incident response, monitoring, and disaster recovery.
• Collaborate across InfoSec, CloudOps, DevOps to establish guardrails and production readiness.
• Coach engineers, lead design reviews, and guide architecture decisions.

Skills

AI/ML deployment

Cloud platforms

CI/CD automation

Security governance

Mentoring

Tools

Docker

Kubernetes

GitHub Actions

Terraform

Helm

Job description

Overview

This Senior Engineer turns RealPage's responsible agentic factory strategy into repeatable infrastructure, automated delivery pipelines, production-grade operating practices, and clear engineering standards. The role blends hands-on AI platform delivery with governance, observability, secure deployment, and mentoring across technical teams.

Responsibilities

Core Responsibilities

• Define standards-based deployment patterns for responsible AI agents, reusable platform capabilities, and secure agent runtime architectures, including identity, access, and secrets management.
• Automate AI platform buildout, release standardization, environment provisioning, CI/CD, Terraform/Helm deployments, and operational runbooks.
• Operate reliable AI platform services with incident response, capacity planning,OpenTelemetrytraces/logs/metrics, monitoring, rollback, and disaster recovery practices.
• Collaborate across InfoSec, CloudOps, DevOps, and platform engineering teams to create responsible agentic factory standards for guardrails, governance, secure releases, observability, and production readiness.
• Coach engineers, lead design reviews, guide implementation toward approved architecture patterns, and drive practical tradeoffs across cost, speed, reliability, and security.

Qualifications

Required Profile

• 8 to 10 years of engineering experience, including 7+ years building and operating production systems on cloud platforms, plus hands-on AI/ML service deployment in production.
• 2-3 years using AI coding tools (Claude Code, Codex, Cursor) to automate platform buildout, deployment, testing, troubleshooting, and documentation.
• Strong experience with GCP/AWS or hybrid cloud/datacenter deployments; Docker, Kubernetes, GitHub Actions with reusable workflows and self-hosted runners, Terraform, and Helm.
• Working knowledge of authentication and authorization (OAuth 2.0, OIDC, SAML, JWT, RBAC, IAM), including workload identity, service-to-service auth, and securing API and tool access.
• 4+ years scripting and automation experience, preferably Python and JavaScript, with strong troubleshooting across Linux, containers, Kubernetes, networking, and production incidents.
• Ability to architect secure, cost-efficient hosting for open-source LLMs, on-prem or in dedicated cloud, as an alternative to commercial model APIs.

Preferred Differentiators

• Agentic AI frameworks (LangGraph, Google ADK), agent-to-agent (A2A) patterns, tool calling, AI workflow orchestration, RAG, evaluation, and responsible AI guardrail design.
• AI-specific observability and tracing (LangSmith, Grafana/LGTM), GPU infrastructure for model serving (NVIDIA GPU Operator, Vertex AI), and DAG-based orchestration (Dagster, Prefect, Airflow).
• Excellent communication, mentoring, stakeholder management, and project planning, with flexibility for critical deployments and production incidents.

Success Measures

• Reusable deployment patterns are documented, automated, adopted, observable, and auditable across key agentic AI workloads.
• Dev, UAT, and Production release paths become faster, more secure, more consistent, and easier to govern.
• Security, governance, reliability, monitoring, and responsible automation are embedded into delivery workflows from the start.

SALARY AND BENEFITS

• RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
• 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. #LI-HYBRID #LI-JL1

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees

Pay Range

USD $105,800.00 - USD $180,200.00 /Yr.