AI Security Architect

Description

We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.

Responsibilities:
Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.
Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.
Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.
Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.
Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.
Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.
Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.
Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.
Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.
Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.

Requirements

5+ years of experience in security engineering, security architecture, or security operations, including practical exposure to AI or machine learning environments.
Strong familiarity with AI platforms and services such as Azure Foundry, Microsoft Copilot, Claude, ChatGPT/OpenAI, or GitHub Copilot, including their built-in security and governance capabilities.
Experience evaluating and managing security settings for AI tools, integrations, and connected services.
Hands-on knowledge of security technologies used to monitor, protect, and govern enterprise environments, with the ability to apply them to AI-related use cases.
Solid understanding of large language models, agentic AI, APIs, and common AI security risks such as prompt injection, data leakage, and model abuse.
Bachelor's degree in Information Security, Computer Science, or a related discipline, or equivalent relevant experience.
Strong analytical, troubleshooting, and communication skills, with the ability to translate technical risk into clear business recommendations.
Familiarity with DevSecOps practices, AI governance or monitoring tools, and regulated industry environments such as banking or financial services is a plus.

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