prompt-injection jobs in San Diego

Lead a team of consultants building production AI/ML applications for cybersecurity, with hands-on responsibility for architecture, code review, and integration across SIEM, SOAR, EDR, and other security platforms. Own technical delivery, timelines, and budgets while mentoring engineers and staying engaged in pair programming and troubleshooting.…See more Work with frontier LLM providers to evaluate agentic systems, RAG pipelines, tool-calling agents, and evaluation harnesses for threat detection and incident response automation. Partner with client stakeholders to translate cyber capabilities into engineering requirements and support account growth through proposals, demos, and reusable delivery playbooks.

Build and deploy AI/ML solutions for cybersecurity as a senior consulting engineer at EY. You will design frontier AI models, LLMs, and agentic architectures tailored to client security workflows, integrating them with SIEM, SOAR, EDR, and other security platforms.…See more You'll translate client use cases into engineering tasks, develop evaluation harnesses, build secure AI deployment pipelines, and deliver production-ready solutions with clear documentation and testing. The role requires 3–5 years of hands-on software engineering experience, proficiency in Python and cloud platforms (AWS/Azure/GCP), and demonstrated expertise in building or deploying AI/ML systems within security contexts.

Information Security Engineer III will lead security architecture reviews and threat modeling for data, analytics, AI, and cloud initiatives at an insurance company. The role involves designing and implementing security controls for AWS data platforms and AI/ML workloads, providing oversight of LLM usage and emerging AI threats, and mentoring engineering teams on secure development practices.…See more You will partner with Engineering, Cloud, Data, and Operations teams to embed security into system design, manage compliance with NIST, NYDFS, PCI DSS, and CPRA/CCPA standards, and evaluate third-party vendors and security tools. The position requires 8+ years of security engineering experience, 3-5 years in AWS cloud security, and expertise in threat modeling, risk assessment, and incident management.

Principal AI Platform Engineer leading enterprise AI infrastructure strategy and governance at the platform boundary. Responsible for implementing and maintaining Bedrock Guardrails and Microsoft Purview DLP controls, managing AI vendor relationships with Microsoft and AWS, producing governance artifacts and runbooks, and leading internal AI adoption through community building and enablement.…See more Requires 7–10 years of cloud/DevOps experience with hands-on production expertise in AWS Bedrock (Agents, Knowledge Bases, Guardrails) and Microsoft 365 Copilot deployment in enterprise environments, including data integration, RAG architecture, and AI security controls.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training the Enchant multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated QC workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agent patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Lead the design, governance, and technical implementation of an enterprise API and AI gateway platform serving internal and external consumers. Define solution standards, security controls, compliance protocols aligned to financial services regulations, and LLM integration patterns across Apigee X, MCP servers, and multiple AI providers.…See more Manage a team through API modernization and AI gateway buildout while actively contributing hands-on engineering on proxies, policies, and MCP integrations when needed.

Design and implement security strategies for Abbott's cloud-based applications and medical devices, including hardening, incident response, penetration testing, and disaster recovery. Apply expertise in user authentication, certificate management, digital signatures, and cloud security architecture while ensuring compliance with ISO, FDA, and regulatory standards.…See more Leverage AI-assisted development tools and cybersecurity platforms to automate vulnerability analysis, evidence collection, and remediation tracking. Conduct hands-on web, mobile, and cloud infrastructure security testing using DAST, SAST, SCA, and vulnerability scanning tools, with demonstrated experience in product security and medical device environments preferred.

Design and develop security strategies for Abbott's cloud-based medical devices and applications, including hardening, incident response, penetration testing, and disaster recovery. Apply expertise in user authentication, certificate management, digital signatures, and cloud security architecture while ensuring compliance with ISO, FDA, and regulatory standards.…See more Conduct web, mobile, and cloud infrastructure security testing using DAST, SAST, SCA, and vulnerability scanning tools. Leverage AI-assisted development and cybersecurity tools—including building agentic AI applications—to automate security deliverables, with responsibility for evaluating AI tools for safe, policy-compliant use and mitigating AI/LLM-specific risks.