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AI Governance Engineer, VP

Burlington Massachusetts💼 Full-time💰 $120,000–$120,000🗓 2026-08-17 → 2026-09-26

Core

Lead governance, oversight, and responsible adoption of Generative AI, Agentic AI, LLMs, and AI-enabled engineering capabilities across the organization.

Role type

VP-level AI Governance Architect

Builds

Scalable, secure, auditable, and cost-effective AI practices aligned with enterprise standards

Domain

Financial services / AI Governance & Risk Management

Deliverable

production ML models | infrastructure

Required skills

AI governance frameworks, enterprise architecture, cybersecurity, regulatory compliance, risk management, FinOps, policy interpretation, NIST AI Risk Management Framework

Preferred skills

Cloud platforms, responsible AI, financial services control environments, Salesforce, Kafka, virtualization

Technologies

LLMs, Agentic AI, Generative AI, SQL, Oracle, Microsoft SQL Server, Salesforce, Kafka, Cloud platforms

Responsibilities

Evaluate AI technologies against enterprise architecture and security requirements; translate enterprise policy into Charles River standards; own AI intake, classification, and approval processes; maintain traceability from obligations to controls; represent the organization in enterprise policy development.

Seniority

VP, strategy & mentorship

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