Senior AI Security Engineer: Governance & Guardrails

Madison-Davis

New York (NY)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Madison-Davis, LLC is seeking a hands-on Senior AI Engineer to advance secure enterprise adoption of Generative AI across infrastructure, apps, and data. The role focuses on security guardrails, governance controls, and secure integration architecture.

You will apply LLM, AI agent, MCP, Python, and enterprise API expertise to protect information, constrain unauthorized activity, and enable responsible AI deployment.

Qualifications

  • 5-8 years of software, cloud, or AI engineering experience.
  • 2+ years of enterprise GenAI/LLM experience.
  • Strong Python development and enterprise integration capabilities.
  • Knowledge of AI security risks, governance, and access controls.

Responsibilities

  • Evaluate security risks across enterprise AI applications, agents, and integrations.
  • Design and implement practical security guardrails for LLM applications and AI workflows.
  • Architect secure AI connections to enterprise APIs, infrastructure, and internal systems.
  • Develop controls for authentication, authorization, data access, and agent behavior.
  • Translate governance requirements into reusable technical standards and enforceable controls.
  • Collaborate with infrastructure, cybersecurity, and engineering teams on secure AI deployment.
  • Implement testing, logging, monitoring, and evaluation for AI security controls.
  • Use Python and modern engineering practices to operationalize secure AI solutions.

Skills

Strong architecture judgment
Technical collaboration

Education

Bachelor's degree or equivalent

Tools

Python
MCP or comparable integration technologies
Enterprise APIs

Job description

Madison-Davis, LLC is seeking a hands-on Senior AI Engineer to advance secure enterprise adoption of Generative AI across infrastructure, apps, and data. The role focuses on security guardrails, governance controls, and secure integration architecture.

You will apply LLM, AI agent, MCP, Python, and enterprise API expertise to protect information, constrain unauthorized activity, and enable responsible AI deployment.

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