AI Data Engineer III: Build Agentic AI & GRC Workflows

RealPage, Inc.; Pasig; Hybrid; PHP 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Complimentary meals

HMO coverage

Retirement savings plan

Leave conversion program

Life insurance

Paid time off

Wellness reimbursement

Tuition reimbursement

Learning and upskilling opportunities

Career growth opportunities

Job summary

RealPage, Inc. is hiring an AI Data Engineer III to design, build, and operate data pipelines, AI agents, and automations for GRC services with a human-in-the-loop approach.

You will bridge GRC requirements with engineering execution, creating data foundations and governance tooling to scale automation across domains. Seniority and collaboration with stakeholders, plus hands-on work with LLM patterns and cloud ML platforms, are essential to succeed in this role.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent practical experience considered.
• Minimum 4+ years in software/AI engineering, with hands-on experience building LLM-powered applications and agentic workflows.
• Proficiency in Python (or comparable) and modern AI development tooling (e.g., Claude Code, Cursor, GitHub Copilot).
• Hands-on experience with LLM application patterns - prompt engineering, RAG, function/tool calling, agentic orchestration, and MCP.
• Familiarity with leading LLMs (Anthropic Claude, OpenAI GPT/o-series, Google Gemini, Meta Llama, Mistral) and model selection trade-offs.
• Working knowledge of the AI/LLM risk landscape: OWASP Top 10 for LLM Applications, NIST AI RMF, ISO/IEC 42001, MITRE ATLAS, and emerging regulation.
• Experience integrating with enterprise platforms and APIs; familiarity with GRC tooling (e.g., ServiceNow IRM, Archer, AuditBoard) a plus.
• Ability to translate GRC domain requirements into well-governed, production-grade automations with human-in-the-loop controls.
• Strong collaboration skills and the ability to partner with non-technical GRC stakeholders.
• Experience building agent evaluation frameworks, guardrails, prompt/version management, and observability/logging for production LLM systems.
• Familiarity with cloud ML platforms (AWS Bedrock/SageMaker, Azure AI, GCP Vertex) and CI/CD-integrated deployment gates.
• AI governance certification a plus (e.g., IAPP AIGP), including agentic architecture concepts.
• Preferred experience in Property Management, Multifamily Housing, SaaS, FinTech, or PropTech industries.

Responsibilities

• GRC Tool & Automation Engineering: Build and integrate agentic AI solutions and automations within the enterprise GRC platform to standardize workflows, automate evidence collection, and improve reporting.
• GRC Tool & Automation Engineering: 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.
• Risk Register Automation: 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 MCP, with guardrails for accuracy and IP boundaries.
• Agent Design, Safety & Operations (Human-in-the-Loop): Implement human-in-the-loop checkpoints and monitoring for supervisor validation of outputs.
• Agent Design, Safety & Operations (Human-in-the-Loop): Apply AI risk controls aligned to OWASP Top 10, NIST AI RMF, ISO/IEC 42001, MITRE ATLAS.
• Agent Evaluation, Observability & Guardrails: Build evaluation harnesses and observability to measure grounding, accuracy, and consistency while minimizing hallucinations.
• Agent Evaluation, Observability & Guardrails: Implement guardrails, deployment gates, and immutable audit trails/logging to catch non-compliant outputs.
• Agent Evaluation, Observability & Guardrails: Maintain model documentation (model cards, data provenance) to support governance.

Skills

Python

LLM apps

RAG

Function/tool calling

Agent orchestration

MCP

GRC tooling

Cloud platforms

DevOps / CI-CD

Security & governance

Education

Bachelors in Computer Science / Software Engineering / Data Science or related field

Tools

Claude Code

Cursor

GitHub Copilot

ServiceNow IRM

Archer

AuditBoard

Job description

RealPage, Inc. is hiring an AI Data Engineer III to design, build, and operate data pipelines, AI agents, and automations for GRC services with a human-in-the-loop approach.

You will bridge GRC requirements with engineering execution, creating data foundations and governance tooling to scale automation across domains. Seniority and collaboration with stakeholders, plus hands-on work with LLM patterns and cloud ML platforms, are essential to succeed in this role.