AI Security Analyst

Overview

Remote
Depends on Experience
Contract - W2
Contract - 21 week(s)

Skills

Artificial Intelligence (AI)

Job Details

Overview: This role supports the Product Security team with a focus on securing AI-driven applications, including Traditional ML, Generative AI, and Agentic AI systems. The position is ideal for a junior to mid-level security professional with a strong cybersecurity foundation and growing experience in AI/ML technologies.

Responsibilities

  • Collaborate with product teams to embed security into AI/ML models, pipelines, and applications throughout the SDLC.

  • Conduct security reviews for AI systems, including LLMs, generative models, and data pipelines.

  • Support the development of AI security policies, standards, and controls aligned with NIST, ISO, and emerging AI regulations.

  • Define and implement AI-specific risk controls, including model validation, bias mitigation, and explainability.

  • Collaborate with legal, compliance, and data privacy teams to ensure adherence to evolving AI regulations.

  • Assist in evaluating and implementing AI security tools for observability, model scanning, and data protection.

  • Help build awareness and training materials for secure AI development practices across agile teams.

  • Perform all other duties and projects as assigned.

Qualifications

Required Experience

  • Bachelor’s degree in Computer Science, Information Security, or a related field.

  • 2+ years of experience in cybersecurity, with exposure to AI/ML technologies.

  • Familiarity with secure coding practices, threat modeling, and cloud-native environments.

  • Understanding of AI/ML concepts such as model training, inference, data labeling, and adversarial attacks.

  • Knowledge of common AI risks (prompt injection, data poisoning, model misuse, etc.) and core cybersecurity concepts including authentication, encryption, and network security.

  • Strong communication and collaboration skills in agile environments (SAFe experience a plus).

  • Strong analytical skills to assess risks and vulnerabilities in complex systems.

Preferred Qualifications

  • Professional certifications such as CCSK, CEH, or AI-specific credentials.

  • Experience with Microsoft AI security tools including MS Defender for Cloud, MS Defender for Cloud Apps, Azure AI Content Safety, and MS Purview.

  • Experience with AI security tools such as Zenity or HiddenLayer.

  • Exposure to Power Platform, Power BI, or other low-code tools, including experience implementing data governance or DLP.

  • Experience specifically in AI security or ML model governance.

  • Proficiency in scripting and automation for security testing.

About the Client

The client is one of the largest investor-owned utility organizations in the United States, serving millions of customers through high-performing regulated utilities. The organization is committed to long-term, sustainable value creation, grid modernization, infrastructure investment, and innovation in energy technology. The client is actively advancing a cleaner energy future with a goal of achieving net-zero carbon emissions by 2050 while maintaining reliability and affordability. The organization also prioritizes community impact, diversity, and support for future generations.

#INDGEN #ZR

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