AI Governance Engineer

• Design and develop AI agents that automate governance workflows including registry updates, risk assessments, policy compliance checks, and documentation generation to reduce manual workload.

• Build automated discovery systems that continuously scan RealPage's infrastructure to identify AI systems, monitor for shadow AI usage, and maintain real-time inventory accuracy across cloud environments.

• Create self-service tools and dashboards that enable business units to independently assess AI risk, generate compliance documentation, and navigate governance processes without constant manual intervention.

• Develop intelligent governance assistants using generative AI that can answer stakeholder questions, provide policy guidance, and assist with intake form completion to accelerate governance processes.

• Implement technical monitoring and observability solutions that track AI system behavior, detect anomalies, identify drift, and alert the governance team to potential issues before they escalate.

• Build integrations between the OneTrust governance platform and other enterprise systems including CMDB, ServiceNow, cloud platforms, and development tools to create seamless data flows.

• Develop automated reporting and metrics collection systems that eliminate manual dashboard creation, provide real-time governance visibility, and generate executive-ready analytics.

• Create API-based governance controls that can be embedded into CI/CD pipelines, enabling developers to receive governance feedback during development rather than as a post-deployment gate.

• Collaborate with InfoSec and DevOps teams to implement runtime technical controls including content filtering, rate limiting, PII detection, and kill switches for AI systems as defined by governance requirements.

• Maintain documentation for governance tools and automation, provide technical support to the governance team, and continuously improve solutions based on operational feedback and changing requirements.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
• 2 to 3 years of software development experience with focus on Python, APIs, or automation
• 1 to 2 years of experience working with LLMs, AI APIs, or agent frameworks (LangChain, OpenAI, Anthropic, or similar)
• Experience building integrations between systems using REST APIs or similar patterns
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Solid foundation in software engineering practices including version control, testing, and documentation
• Travel up to 5% for training and team meetings

• Experience developing agents or LLM-based apps using frameworks like LangChain, OpenAI Agent SDK, or similar
• Familiarity with governance, risk, and compliance platforms (OneTrust, ServiceNow GRC)
• Experience in DevSecOps, CI/CD pipeline development, or platform engineering
• Knowledge of MLOps practices and AI/ML observability tools
• Experience in property management or real estate technology industry

• Deep technical understanding of generative AI, LLMs, and agentic AI system development with ability to architect intelligent governance solutions

• Proficiency in software engineering best practices including version control, testing, documentation, and code review

• Strong problem-solving skills with ability to break down complex governance challenges into implementable technical solutions

• Experience with data engineering concepts including ETL pipelines, data quality, and database management

• Working knowledge of governance and compliance concepts to understand requirements and design appropriate technical controls

• Excellent communication skills with ability to explain technical concepts to non-technical governance stakeholders

• Self-directed work style with ability to identify high-impact automation opportunities and drive implementation independently

• Strong analytical skills for evaluating tool options, assessing technical feasibility, and making architectural decisions

• Collaborative mindset with willingness to partner across teams including governance, security, engineering, and operations

• Commitment to building maintainable, scalable solutions that can evolve with changing governance requirements

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