
Sr. AI Platform Engineer HYBRID
RealPage, Inc.2 months ago
Richardson, TX, USASenior
Base Salary
$106k - $180k/yr
Responsibilities
- Define standards-based deployment patterns, reusable platform capabilities, and secure runtime architectures for responsible AI agents.
- Automate AI platform buildout, release standardization, environment provisioning, CI/CD, Terraform and Helm deployments, and operational runbooks.
- Operate reliable AI platform services with incident response, capacity planning, monitoring, tracing, rollback, and disaster recovery.
- Establish guardrails, governance, secure releases, observability, and production-readiness standards with InfoSec, CloudOps, DevOps, and platform engineering teams.
- Coach engineers, lead design reviews, guide implementations toward approved architecture patterns, and drive cost, speed, reliability, and security tradeoffs.
Requirements
- Requires 8–10 years of engineering experience, including 7+ years building and operating production systems on cloud platforms and hands-on AI/ML service deployment in production.
- Requires 2–3 years using AI coding tools such as Claude Code, Codex, and Cursor for platform buildout, deployment, testing, troubleshooting, and documentation.
- Requires experience with GCP, AWS, or hybrid cloud/datacenter deployments, Docker, Kubernetes, GitHub Actions, Terraform, and Helm.
- Requires working knowledge of OAuth 2.0, OIDC, SAML, JWT, RBAC, IAM, workload identity, service-to-service authentication, and securing API and tool access.
- Requires 4+ years of scripting and automation experience, preferably with Python and JavaScript, plus troubleshooting across Linux, containers, Kubernetes, networking, and production incidents.
- Must be able to architect secure, cost-efficient hosting for open-source LLMs on premises or in dedicated cloud environments.
- Preferred qualifications include experience with LangGraph, Google ADK, A2A patterns, tool calling, RAG, evaluation, LangSmith, Grafana/LGTM, NVIDIA GPU Operator, Vertex AI, Dagster, Prefect, and Airflow.
- Strong communication, mentoring, stakeholder-management, project-planning, and production-deployment flexibility are preferred.
Benefits
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Performance-based bonus eligibility depending on the position and applicable plan.
- Hybrid work arrangement is indicated by the job title and #LI-HYBRID designation.
Tech Stack
Apache AirflowAWSDockerGitHub ActionsGoogle Cloud PlatformGrafanaHelmJavaScriptKubernetesLinuxPythonTerraform