AI Governance Engineer

Dalio Family Office•Westport, CT

2d•Hybrid

About The Position

The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures, investments, and philanthropic efforts under Dalio Philanthropies, which includes OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The core of the DFO’s culture is built around meaningful work and meaningful relationships and the family’s commitment to giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore, and Abu Dhabi. This AI Governance Analyst / Engineer will build and operate the program that lets the organization adopt agentic AI aggressively, and safely. You will author the AI-SSDLC, gate agents before production, own the organization’s AI threat model, and hunt for risky or misaligned behavior before it becomes an incident. The role works across IT, Compliance, Legal, and every business unit building or consuming AI tools, and serves as the primary SME on Agentic AI security for senior leadership and the board.

Requirements

Bachelor’s Degree or Diploma in Information Security, Risk Management, Computer Science, or a related field.
5+ years of experience in information security, IT governance, risk management, compliance, or software engineering, including 2+ years of hands-on enterprise AI/automation experience.
Knowledge of AI in Power Automate, including AI Builder, agentic workflows, connector permissions, and audit logging.
Strong understanding of Model Context Protocol (MCP), trust boundaries, tool scoping, and AI agent security.
Expertise with Microsoft Purview, including DSPM for AI, DLP, sensitivity labels, audit logging, insider risk.
Experience with OWASP, STRIDE, PASTA, NIST, AI RMF, ISO/IEC
Ability to develop scripts or low code solutions; Python, Powershell, or Power Platform and analyze security logs

Nice To Haves

Integrity and sound judgment in balancing AI innovation with risk management.
Expertise in AI governance, AI-SSDLC, and enterprise risk frameworks.
Strong knowledge of AI security, threat modeling, red teaming, and agentic AI architectures.
Ability to influence and collaborate across IT, Legal, Compliance, Privacy, and business teams.
Proven capability to design scalable governance processes, controls, and automation.
Executive-level communication skills with the ability to present complex AI risks and strategies to senior leadership and the board.

Responsibilities

Develop and manage the AI Secure Software Development Lifecycle (AI-SSDLC), including governance controls and an enterprise agent registry.
Lead AI threat modeling, risk assessments, red team exercises, and security reviews for AI agents and platforms.
Monitor AI systems for security, compliance, and behavioral risks; enforce governance standards and executive reporting.
Partner with Legal, Privacy, Compliance, and Security teams to align AI programs with regulatory and industry frameworks.
Drive automation, process scalability, and reporting dashboards to improve governance efficiency and risk management.