Job Description
Company: remoterocketship
Location: New York, US
Job Description: Design and implement secure AI and generative AI architectures across data, model development, deployment, and inference
Embed security controls into LLM, RAG, and agentic AI systems
Guide architectural decisions on data pipelines, model orchestration, APIs, and observability
Design AI auditability and observability solutions to support governance, monitoring, and incident response
Identify and mitigate AI-specific risks (e.g., prompt injection, data leakage, model poisoning, adversarial attacks)
Conduct threat modeling, architecture risk assessments, and AI security testing (e.g., red teaming) for AI systems
Act as a trusted advisor to client leaders on secure and responsible AI adoption
Requirements: 8+ years of experience in software engineering, cybersecurity, or AI/ML, including architecture roles
Proven experience delivering secure, production-grade AI or generative AI solutions
Deep knowledge of LLM-based and agentic AI architectures
Strong understanding of cloud platforms (Azure, AWS, or GCP) and cloud security capabilities
Expertise in identity and access management (IAM), data protection, API security, and risk assessment
Ability to assess and communicate technical risks in a business context
Experience working in client-facing environments with both technical and business stakeholders
Benefits: medical, dental and vision coverage wellness programs
401(k) plan with a generous employer match employee stock purchase plan generous Paid Time Off policy paid parental leave and adoption assistance
Source: BeBee