Senior Security Engineer, AI Model and Application in United States at Jobgether

his position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Security Engineer, AI Model and Application in United States.

This role sits at the cutting edge of cybersecurity and artificial intelligence, focusing on securing AI/ML systems that power modern, data-driven applications. You will be responsible for safeguarding the full lifecycle of AI models, from training data and pipelines to production inference and user-facing AI features. The position combines deep security engineering expertise with hands-on experience in AI/LLM systems, ensuring robust protection against emerging threats such as prompt injection, model extraction, and adversarial attacks. You will work closely with ML engineers, product teams, platform engineers, and security operations to embed security-by-design principles into AI development workflows. The role is highly technical and requires proactive engagement in threat modeling, red teaming, and secure architecture design. You will also help define standards and best practices for AI security across the organization, contributing directly to compliance and regulatory alignment. This is a high-impact role in a fast-evolving environment where security and AI innovation intersect.

• Design, implement, and maintain security controls across the full AI/ML lifecycle, including data validation, training pipelines, model registries, and production monitoring
• Develop and maintain AI/ML threat models covering risks such as prompt injection, data leakage, model evasion, poisoning, and agent manipulation
• Lead red teaming and adversarial testing efforts for LLMs and agent-based systems, identifying vulnerabilities and driving remediation with engineering teams
• Partner with ML and platform engineers to embed security into model development, deployment pipelines, and RAG/agentic architectures
• Define policies for secure prompt handling, output filtering, sensitive data detection, and AI system logging for compliance and investigation
• Integrate AI security telemetry into SIEM and SOC workflows and define incident response runbooks for AI-related threats
• Create and maintain security documentation including threat models, SOPs, data flow diagrams, and architectural security standards
• Stay current on AI security frameworks and emerging threats (e.g., NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS) and translate insights into internal controls
• Collaborate cross-functionally with engineering, product, legal, and compliance teams to guide secure AI system design
• Mentor junior security engineers and support cross-functional security initiatives and special projects

• Bachelor’s degree in Computer Science, Information Security, Engineering, or related field with 7+ years of relevant experience
• 5+ years of experience in application security, product security, or offensive security with strong hands-on threat modeling experience
• Demonstrated experience testing or attacking AI/ML or LLM systems (e.g., prompt injection, adversarial examples, model abuse, data exfiltration)
• Strong understanding of web and API security concepts (OWASP, authentication, authorization, abuse prevention)
• Experience working with AI-specific security frameworks such as NIST AI RMF, OWASP LLM Top 10, or MITRE ATLAS
• Strong Python skills and familiarity with ML/LLM frameworks (e.g., LangChain, Hugging Face, OpenAI APIs)
• Experience with cloud environments and security monitoring tools is highly valued
• Strong communication skills with ability to translate technical risks into actionable guidance for non-security stakeholders
• Preferred: experience with RAG pipelines, vector databases, or AI agent frameworks and their security risks
• Preferred: experience in regulated environments with compliance requirements such as SOC 2 or ISO 27001

• Competitive salary based on experience and geographic location
• Eligibility for discretionary bonus and equity awards
• Comprehensive health, dental, and vision insurance plans
• Flexible work arrangement (remote or on-site depending on location)
• 401(k) retirement plan with company match
• Paid time off including holidays, vacation, and personal days depending on employment type
• Health and wellness programs, including EAP support and flexible spending accounts
• Additional perks such as life insurance, disability coverage, legal services, identity protection, and employee discounts
• Strong learning environment with opportunities to work on cutting-edge AI security challenges.