This is a remote position.
SoftSnow is an AI consulting company. Our mission is to empower businesses to navigate the complexities of AI adoption and accelerate their journey toward realizing its full potential. SoftSnow is the leading partner for mid-market companies, helping to strategically leverage AI to transform business operations, achieve unparalleled efficiency, and foster sustainable growth.
Position Overview
SoftSnow is seeking an AI Security Specialist to protect the integrity, privacy, and security of AI-powered systems. This role will be responsible for securing generative AI agents, ensuring safe interaction between users and LLMs, and safeguarding proprietary data flowing through AI pipelines.
The ideal candidate will bring experience in both traditional cybersecurity practices and AI/ML-specific threats — including prompt injection attacks, data leakage risks, adversarial inputs, and model misuse. You’ll collaborate with Engineers, Trainers, and Compliance teams to proactively identify vulnerabilities and build secure-by-design AI systems.
Key Responsibilities
- Identify, assess, and mitigate security vulnerabilities across AI agents, APIs, and vector stores.
- Develop risk models and threat assessments for LLM-specific attack surfaces such as prompt injections, model exploitation, or RAG bypasses.
- Implement encryption, access controls, data masking, and other privacy-preserving techniques in AI workflows.
- Collaborate with engineering and infrastructure teams to harden pipelines and isolate high-risk data environments.
- Lead incident response investigations related to AI-generated misuse or sensitive data exposure.
- Maintain documentation for internal security protocols, regulatory compliance, and client-specific requirements.
Requirements
Education:
- Bachelor’s degree in Cybersecurity, Computer Science, Information Security, or related field.
Experience:
- 3–5 years in cybersecurity, infrastructure security, or cloud security with at least 1 year working with AI or data systems.
- Familiarity with generative AI technologies (e.g., OpenAI, Anthropic), model APIs, and retrieval architectures.
- Experience securing APIs, cloud environments, and pipelines that handle both structured and unstructured data.
Knowledge, Skills & Abilities:
- Deep understanding of LLM-specific threats, including prompt injection, prompt leaking, and model hallucination risks.
- Skilled in penetration testing, threat modeling, and adversarial analysis for AI-powered systems.
- Strong knowledge of data security standards (SOC 2, HIPAA, ISO 27001) and secure software practices.
- Effective communicator who can work across security, compliance, and engineering teams.
- Experience with tools like Vault, Keycloak, or security-focused ML frameworks is a plus.
Benefits
What We Offer:
- Comprehensive Training – Learn AI development through hands-on experience and mentorship.
- Exciting Growth Opportunities – Join a fast-growing industry with endless possibilities.
- Collaborative Environment – Work alongside top AI professionals in a supportive team.
- Innovative Work – Be part of cutting-edge AI projects that shape the future of business.
- Flexible Work Environment – Remote work opportunities with a results-driven approach.
- Competitive Benefits - Designed to focus on our team's personal, professional and financial goals.