Senior AI Security Engineer

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dataSpring Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🤝 B2B

📣 Marketing

☁️ SaaS

B2B • Marketing • SaaS

dataSpring is an Asia-focused market research and online panel provider. It offers expansive coverage across 12 countries and 2 million+ active panelists, supplying researchers with proprietary panels, third-party partners, and API integration. dataSpring provides a mobile research platform, 24/7 regional operations support in local languages, a Quality Check System for data validity, downloadable panel books, and insights content (blogs and podcasts) targeted at businesses conducting surveys and market research in Asia.

📋 Description

• Lead threat modeling for AI capabilities, agentic features, and integrations. • Maintain a living threat model aligned to OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF, and translate findings into prioritized, actionable controls. • Own and maintain the AI security reference architecture covering model hosting, orchestration, tool use, MCP server deployments, and observability. • Establish security patterns for new capabilities before they reach production. • Evaluate foundation models for data-leakage risk and supply-chain provenance. • Harden prompt pipelines against injection, jailbreaking, and context poisoning. • Define trust boundaries, tool call authorization, privilege scoping, and human-in-the-loop escalation policies for multi-agent systems. • Apply zero-trust principles to all model API calls, vector store queries, and external tool invocations. • Classify and control data flowing into LLM context windows, vector databases, and training pipelines. • Instrument AI infrastructure with behavioral telemetry. • Support SOC 2, HIPAA, ISO 27001, and NIST AI RMF compliance as applied to AI systems.

🎯 Requirements

• 8+ years of progressive information security experience across architecture, application security, identity, and data domains. • Hands-on use of Claude for application development, including system prompt design, tool-use configuration, and multi-agent orchestration. • Experience with the Model Context Protocol (MCP) ecosystem and securing MCP server deployments. • Red team or adversarial AI testing experience: model evasion, adversarial examples, jailbreak research. • Background in a regulated industry with data sensitivity requirements, healthcare a plus. • Contributions to AI security open-source projects, published research, or conference presentations (DEF CON AI Village, Black Hat, NeurIPS). • Demonstrated success securing AI/ML systems, LLM applications, or agentic AI platforms in a production environment. • Demonstrated experience building or securing applications developed substantially through LLM-assisted code generation (Claude, Copilot, Cursor, or equivalent). • Cloud-native security experience on at least one major provider (AWS, Azure, GCP), including IAM policy design, network segmentation, and secrets management. • Demonstrated success automating adversarial testing infrastructure include jailbreak suites, prompt injection harnesses, and regression pipelines tied to model and prompt changes. • Relevant certifications: CISSP, CCSP, OSCP, AWS/Azure Security Specialty, or emerging AI security credentials.

🏖️ Benefits

• medical, dental, and vision coverage • a 401(k) with company contributions and matching • paid parental leave • tuition assistance • generous paid time off