AI Security Architect – Generative AI, LLM Security & AI Gateway Controls

Be Part Of A High-Performing Team

Join a global financial services organization advancing its cybersecurity capabilities to support the secure adoption of artificial intelligence. The organization operates in a highly regulated environment where protecting sensitive information, strengthening security controls, and maintaining operational resilience are essential.

This opportunity sits within a global AI security transformation initiative focused on establishing consistent safeguards for generative AI applications, intelligent automation, and emerging AI technologies. The team collaborates with cybersecurity architects, engineers, risk and compliance specialists, technology leaders, and business stakeholders across multiple international regions.

As an AI Security Architect, you will play a hands-on role in translating emerging AI security risks into practical technical controls, scalable architecture patterns, and sustainable security practices.

What's In Store For You

• Work Arrangement: 100% Remote
  

• Engagement: W2 only (no C2C/1099)
  

• Contract opportunity supporting a global AI security transformation program.
  

• Collaborate with international technology and cybersecurity teams across the Americas, Europe, and Asia-Pacific.
  

• Work directly with emerging technologies, including generative AI, large language models (LLMs), AI copilots, and autonomous AI agents.
  

• Contribute to enterprise-wide security architecture, AI governance, and reusable security platforms.
  

• Gain exposure to complex AI security challenges within a highly regulated financial services environment.
  

How You Will Make An Impact

• Design, develop, and implement security architectures that protect enterprise generative AI applications, LLM integrations, copilots, and agent-based systems.
  

• Establish technical safeguards against prompt injection, sensitive data exposure, insecure model outputs, and unauthorized AI system behavior.
  

• Architect centralized AI gateway capabilities that enforce security policies across interactions with AI models and services.
  

• Implement controls for prompt inspection, output filtering, sensitive information redaction, model authorization, and API abuse prevention.
  

• Address emerging AI security vulnerabilities involving retrieval-augmented generation (RAG), vector databases, embeddings, model dependencies, and AI supply chains.
  

• Partner with software engineering and platform teams to integrate security controls throughout AI application development, deployment, and ongoing operations.
  

• Develop secure architectural patterns for AI systems that process confidential customer information, employee records, and regulated financial data.
  

• Support the identification and assessment of unauthorized or unmanaged AI tools, commonly referred to as shadow AI.
  

• Establish monitoring, audit logging, and evidence-generation capabilities to strengthen AI security oversight and regulatory readiness.
  

• Collaborate with regional security leaders, risk management, compliance, privacy, legal, procurement, and technology stakeholders to align technical solutions with enterprise security expectations.
  

• Translate security assessments into actionable implementation plans, measurable controls, and repeatable operational processes.
  

• Build automation, integrations, and security tooling using modern programming or scripting languages.
  

Requirements

Do You Have the Expertise to Lead in Generative AI Security Architecture?

• 5–7 years of relevant cybersecurity, security architecture, or security engineering experience, with demonstrated hands-on involvement in securing modern applications and AI-enabled technologies.
  

• Practical experience designing or implementing security controls for generative AI, LLM-powered applications, AI copilots, or agentic AI systems.
  

• Strong understanding of AI-specific threats, including prompt injection, data leakage, insecure output handling, excessive agent permissions, and model supply chain vulnerabilities.
  

• Experience designing or implementing centralized security controls for AI model interactions, API traffic, or application gateways.
  

• Knowledge of prompt filtering, response inspection, PII/secret redaction, access controls, rate limiting, and security audit logging.
  

• Familiarity with security considerations involving RAG architectures, embeddings, vector databases, and external model integrations.
  

• Proficiency in at least one programming or scripting language, such as Python, Go, or Node.js.
  

• Experience integrating security capabilities into software development, application architecture, and production environments.
  

• Understanding of data protection and security requirements in environments handling sensitive or regulated information.
  

• Ability to work independently across architecture, engineering, implementation, and operational adoption.
  

• Strong communication and collaboration skills, with the ability to explain technical risks and architectural decisions to diverse stakeholders.