AI Security Engineer: GRC Automation Lead

RealPage, Inc.; Pasig; Hybrid; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Free meals in office

HMO coverage for dependents

Retirement savings plan

Paid time off

Job summary

RealPage, Inc. is seeking an AI Engineer III to design, build, and operate agentic AI solutions for GRC services, focusing on the GRC Tool platform and risk governance.

You will work under a human-in-the-loop model to scale automation while safeguarding confidentiality and IP. The role requires Python and modern AI tooling, experience with LLM patterns, and ability to translate GRC needs into production-grade automations.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.

Responsibilities

• Build and integrate agentic AI solutions and automations within the enterprise GRC platform to standardize workflows, automate evidence collection, and improve reporting.
• Develop control automations, evidence collectors, and governance tooling, reducing dependence on the broader engineering backlog.
• Risk Register Automation
• Engineer AI-assisted workflows to populate, maintain, and reconcile the enterprise Risk Register across technology domains.
• Automate linkage between risk entries, controls, and remediation tracking.
• Policy Governance Automation
• Build AI-assisted tooling for policy drafting, framework crosswalks, annual review cadence, and exception workflows.
• Agent Design, Safety & Operations (Human-in-the-Loop)
• Design agentic workflows using RAG, function/tool calling, and Model Context Protocol (MCP), with appropriate guardrails for accuracy, confidentiality, and IP boundaries.
• Implement human-in-the-loop checkpoints and monitoring so GRC leaders can supervise and validate agent outputs.
• Apply AI risk controls aligned to OWASP Top 10 for LLM Applications, NIST AI RMF, ISO/IEC 42001, MITRE ATLAS.
• Agent Evaluation, Observability & Guardrails
• Build evaluation harnesses and observability for deployed agents - measuring grounding, accuracy, and consistency while minimizing hallucinations across GRC use cases.
• Implement guardrails, deployment gates, and immutable audit trails/logging so non-compliant or low-confidence outputs are caught before use.
• Maintain model documentation (model cards, data provenance) to support AI governance and regulatory defensibility.

Skills

Python

LLM development

Prompt engineering

RAG

Agent orchestration

APIs integration

Collaboration

Observability

CI/CD

Education

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field

Tools

Claude Code

Cursor

GitHub Copilot

AWS Bedrock

SageMaker

Azure AI

GCP Vertex

Job description

RealPage, Inc. is seeking an AI Engineer III to design, build, and operate agentic AI solutions for GRC services, focusing on the GRC Tool platform and risk governance.

You will work under a human-in-the-loop model to scale automation while safeguarding confidentiality and IP. The role requires Python and modern AI tooling, experience with LLM patterns, and ability to translate GRC needs into production-grade automations.