ai-security jobs in San Diego

Lead complex cybersecurity engagements for Chemicals & Natural Resources clients, managing workstreams across cyber defense, risk management, compliance, and operational technology security. Develop and deliver cybersecurity strategies tailored to chemical, oil & gas, mining, and agricultural enterprises, with deep expertise in both IT and OT environments.…See more Coordinate cross-functional project teams, manage budgets and deliverables, and serve as primary stakeholder contact for translating client security priorities into actionable solutions. Guide clients through secure adoption of AI/ML, OT modernization, supply chain digitization, and IT/OT convergence while maintaining regulatory compliance and operational resilience.

As a Senior Consultant on the Cloud Cyber Risk team, you will deliver Azure cloud security engagements spanning governance, identity, application security, infrastructure, AI security, monitoring, and data protection. You will perform security assessments, solution design, implementations, and health checks across Azure, Microsoft Entra ID, and Microsoft 365 environments, working directly with clients to identify risks and recommend configurations.…See more You will develop technical deliverables including assessment reports, architecture diagrams, and remediation documentation. The role requires 4+ years of technical consulting or cloud security implementation experience, hands-on design and implementation in Azure or hybrid cloud environments, expertise with Azure Policy, Terraform, or JSON-based infrastructure configuration, and 3+ years with cloud security tools (CNAPP, CSPM, CWPP).

Lead the design and implementation of enterprise security enforcement technologies, including SIEM platforms, endpoint security, threat detection, and incident response systems. Develop and maintain a forward-looking cybersecurity technology roadmap aligned with NIST frameworks and business objectives, evaluating emerging threats and technologies to strengthen organizational security capabilities.…See more Conduct threat hunting, penetration testing, and detection engineering activities while driving automation of security controls, policy enforcement, and response across complex technology environments. Mentor cybersecurity teams and influence enterprise security strategy across large organizations, with demonstrated experience securing AI-enabled solutions and understanding AI-specific security considerations.

Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.…See more Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.

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.

The Cybersecurity Analyst leads Bumble Bee's day-to-day cybersecurity operations, investigating and responding to security incidents, hunting threats, and tuning detection tooling. The role owns the full incident response lifecycle, manages vulnerability remediation, optimizes SIEM platforms, conducts security risk assessments for platforms and vendors, and maintains compliance through access control reviews and policy development.…See more The analyst builds incident response playbooks, monitors threat intelligence and CVE disclosures, and advises on third-party cyber risk. The position requires 4+ years of cybersecurity experience, proficiency with SIEM platforms, EDR tools, vulnerability management, MITRE ATT&CK framework, and knowledge of NIST, SOC, and ISO standards.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

This role combines offensive security expertise with vulnerability management for a financial software company. The engineer will triage and analyze bug bounty and vulnerability disclosure reports, reproduce vulnerabilities, develop technical findings, and communicate security risks to product and engineering teams.…See more The position requires 3+ years of cybersecurity experience with 2+ years in offensive security, hands-on penetration testing and vulnerability scanning skills, experience testing web/mobile/desktop applications or AI systems, and proficiency in Python or similar scripting languages.

Senior AI Subject Matter Expert responsible for developing intelligent data processing and NLP pipelines, AI-enabled dashboards, and proofs-of-concept for AI use cases. The role requires 7+ years of professional experience with advanced expertise in LLM APIs, RAG architectures, agent-based development, generative AI coding tools, and secure AI deployment patterns.…See more Responsibilities include prototyping emerging AI developer tooling, mentoring engineering teams on generative AI workflows, and identifying software lifecycle areas that can be accelerated through AI and automation. The candidate must critically evaluate AI-generated code for correctness and security, understand AI-specific security risks across the full SDLC, and scope requirements for engineering solutions that meet business challenges with measurable outcomes.

Lead the design, development, and deployment of enterprise-scale Generative AI and LLM solutions across Azure and AWS environments. Define AI architecture frameworks, standards, and governance practices while architecting RAG systems, agentic AI, multi-agent systems, and vector database solutions.…See more Partner with business leaders and engineering teams to translate business requirements into scalable, secure, and responsible AI platforms. Mentor architects and data science teams while evaluating emerging AI technologies and driving innovation initiatives.

Director-level role leading cyber architecture strategy and teams at an enterprise consulting firm. Responsibilities include architecting secure cloud and AI-enabled solutions, guiding security controls and design patterns, mentoring security professionals, and providing technical thought leadership on emerging technologies like generative AI and agentic systems.…See more Requires 10+ years of security architecture experience, expertise across IaaS/PaaS/SaaS platforms, and proven ability to influence enterprise technology strategy while balancing business enablement with risk management.

Director leading a pre-sales security engineering team responsible for technical strategy, solution design, and customer-facing support across EVOTEK's cybersecurity portfolio. The role combines deep technical security expertise with people leadership, requiring mentorship of engineers/architects, oversight of enterprise solution design and proof-of-concept engagements, and alignment of technical capabilities with sales and delivery practices.…See more Responsibilities include RFP response, competitive positioning, vendor management, and technical presentations spanning AI security, network security, cloud security, identity & access management, endpoint/XDR, SIEM/SOAR, zero-trust architecture, and data protection. Must understand the VAR business model and translate complex technical capabilities into business value for enterprise stakeholders.