Senior Security Engineer

We are seeking a highly skilled Senior Security Engineer – AI Secure Design to join our AI Secure Design team. This team serves as the enterprise authority for the independent security evaluation of AI technologies, tools, platforms, and frameworks before they are approved for organizational use.

This is a technology-focused cybersecurity role centered on AI security research, technology assessment, governance, and risk evaluation. The role does not involve application security reviews, secure SDLC activities, or code-level assessments. Instead, you will evaluate AI technologies to ensure they meet enterprise security, compliance, and governance standards.

Key Responsibilities

• Conduct independent security assessments of AI technologies, platforms, tools, and services proposed for enterprise adoption.
• Research emerging AI technologies, Large Language Models (LLMs), Generative AI platforms, SDKs, APIs, frameworks, and agentic AI solutions.
• Evaluate the security architecture, capabilities, and associated risks of AI products and services.
• Perform security and governance assessments for:
• AI developer tools (Coding Assistants, Copilots)
• Large Language Models (LLMs)
• Generative AI platforms and APIs
• Agentic AI platforms
• Retrieval-Augmented Generation (RAG) frameworks
• Open-source AI tools and frameworks
• Analyze security risks related to data privacy, model security, identity, access control, supply chain security, and third-party AI services.
• Develop security recommendations, risk assessments, and enterprise guidance for AI technology adoption.
• Create security evaluation reports and document findings for technical and business stakeholders.
• Collaborate with Enterprise Architecture, Information Security, Risk Management, Legal, and Governance teams to establish secure AI adoption standards.
• Monitor emerging threats, vulnerabilities, regulatory changes, and industry best practices within the AI security landscape.
• Contribute to AI security standards, governance frameworks, and technology evaluation methodologies.

Required Skills & Qualifications

• Bachelors or Masters degree in Computer Science, Cybersecurity, Information Security, or a related field.
• 6+ years of experience in Information Security, Cybersecurity, Security Engineering, or Technology Risk.
• Strong understanding of AI/ML technologies, Large Language Models (LLMs), Generative AI, and modern AI ecosystems.
• Experience evaluating cloud-based AI platforms and AI service providers.
• Knowledge of AI security risks including:
• Prompt Injection
• Model Poisoning
• Data Leakage
• Model Privacy
• Supply Chain Risks
• Identity & Access Security
• Understanding of AI frameworks such as LangChain, LlamaIndex, RAG architectures, MCP, and agentic AI platforms.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical, research, and technical evaluation skills.
• Excellent documentation, communication, and stakeholder management abilities.

Preferred Qualifications

• Experience with AI governance or AI risk management frameworks.
• Knowledge of OWASP Top 10 for LLM Applications and AI security best practices.
• Familiarity with NIST AI Risk Management Framework (AI RMF), ISO 42001, or similar AI governance standards.
• Relevant certifications such as CISSP, CCSP, CISM, AWS Security Specialty, Azure Security Engineer, or AI Security certifications are desirable.

What Youll Work On

• Enterprise AI Security Evaluations
• AI Technology Research
• AI Platform Security Assessments
• AI Governance & Risk Analysis
• Security Architecture Reviews for AI Technologies
• Enterprise AI Adoption Guidance

Key Technologies

• Large Language Models (LLMs)
• Generative AI
• AI APIs & SDKs
• Copilots & AI Coding Assistants
• Agentic AI Platforms
• RAG Frameworks
• LangChain
• LlamaIndex
• MCP (Model Context Protocol)
• AWS / Azure / Google Cloud
• Open-Source AI Frameworks