Security Engineer, AI
Applied Systems, Inc.3 months ago
Remote, United StatesMid Level / Senior
Base Salary
$80k - $120k/yr
Responsibilities
- Evaluate the security posture of LLMs and generative AI systems.
- Conduct threat modeling and security architecture reviews for AI/ML systems and data pipelines.
- Implement and maintain security controls for AI model training, fine-tuning, inference infrastructure, containers, and AI platforms.
- Develop security baselines and hardening configurations for AI platforms and frameworks.
- Identify and help remediate AI/ML vulnerabilities including prompt injection, model poisoning, data exfiltration, and adversarial attacks.
- Implement data security and privacy controls for AI training datasets and inference inputs.
- Develop security runbooks, policies, guidelines, training, and incident-response practices for AI systems.
- Review AI/ML applications and vendor AI services and support proof-of-concept AI security solutions.
- Monitor emerging AI security threats, research, and industry practices.
Requirements
- Minimum 3–5 years of experience in security engineering or DevSecOps roles.
- Foundational understanding of machine learning concepts, ML workflows, and common ML frameworks.
- Working knowledge of LLMs, transformer architectures, generative AI applications, and LLM security concerns.
- Experience with container security, Kubernetes security, cloud security for AI workloads, and ML data pipelines.
- Understanding of secure software development, supply chain security, model governance, versioning, and secure model deployment.
- Experience with Terraform or Ansible and at least one of Python, Bash, or Go.
- Understanding of encryption, key management, data privacy, PII protection, vulnerability scanning, and secure coding practices.
- Working knowledge of compliance frameworks such as GDPR and SOC 2.
- Experience securing data pipelines and ETL processes.
- Strong written and verbal communication skills and the ability to work independently and collaboratively.
- Security certification such as Security+ or CISSP is advantageous.
- Experience with OpenAI API, Anthropic Claude, Google Vertex AI, Azure OpenAI, Robust Intelligence, or Arthur AI is advantageous.
- AI security research, publications, conference participation, threat modeling, security research, penetration testing, or AI red-teaming experience is advantageous.
- Candidates without a degree or a traditional technology background are encouraged to apply.
Benefits
- Remote work arrangement for candidates residing in North America, with the ability to work 100% remotely or from an Applied Systems office.
- Medical, dental, and vision coverage.
- Holiday and vacation time.
- Health and wellness days.
- A bonus day for the employee's birthday.
- Additional compensation plans such as bonus or commission may be available depending on the role.
About Applied Systems, Inc.
Applied Systems builds cloud software for property and casualty insurance agencies and brokerages, including agency/broker management systems, quoting/rating tools, analytics, and insurer connectivity. The company sells its platforms on a subscription basis and operates the IVANS data exchange that links agencies with insurance carriers. Founded in 1983 and headquartered in Chicago, it is privately held by Hellman & Friedman and serves markets across North America and the U.K./Ireland.