AI Security Architect

Additional Job Details:
Job Summary:
As an AI Security Analyst, you will be responsible for ensuring that AI models meet stringent security standards and are resilient against attacks. This includes developing and implementing security requirements and assessment procedures for AI systems, monitoring AI assets for security gaps, and collaborating with cybersecurity stakeholders to deploy secure AI capabilities.

Key Responsibilities:
- Utilize AI tools such as OpenAI, Amazon Q, LangChain, LIamaIndex, or similar GenAI tools and ecosystems.
- Integrate AI capabilities into security analytics, dashboards, or workflow automation.
- Understand AI models, prompts, and their security features.
- Research and analyze AI-enabled threats, adversarial machine learning attacks, and defensive strategies.
- Develop adversarial testing frameworks to validate the robustness of AI security models.
- Create guardrails for integrating AI security tools with existing infrastructure.
- Stay updated with emerging AI threats, security research, and defensive techniques.
- Present findings and recommendations to technical and executive stakeholders.
- Analyze and build security requirements for AI-powered solutions in enterprise-scale environments.
- Collaborate with IT teams to implement AI-enhanced solutions.
- Work with vendors on AI security tool discussions and implementation.
- Ensure compliance with industry regulations and internal security policies.
- Lead cross-functional projects to integrate AI security across business units.
- Develop metrics and KPIs to measure the effectiveness of the AI security program.
- Establish security measures to protect AI systems from cyber threats.

Requirements:
- Over 15 years of experience in cybersecurity.
- Hands-on AI/ML development experience using Python, TensorFlow, PyTorch, or similar frameworks.
- Strong understanding of cybersecurity fundamentals, including network security, endpoint protection, and threat hunting.
- Experience with both security tools and AI-related tools.
- Knowledge of data science libraries (pandas, scikit-learn, NumPy) and big data technologies.
- Expertise in adversarial machine learning, model security, and AI red teaming.
- Experience with cloud security platforms such as AWS Security Hub, Azure Sentinel, and Google Chronicle.
- Strong understanding of AI technologies, security testing frameworks, threat intelligence, and proficiency in
relevant programming languages.

About Tanisha Systems, Inc.

Tanisha Systems, founded in 2002 in Massachusetts-*, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in * and *.
Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.

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