
Senior Security Engineer, AI Architecture Patterns
Posted 12 hours ago

Posted 12 hours ago
This is a fully remote position, open to applicants in California, +4 more states.
• Create shift-left solutions that integrate security standards into AI-generated code.
• Transform written security standards into formats that can be enforced by machines.
• Design verification workflows for generated code and manage downstream release gating.
• Sustain evaluation harnesses, reference repositories, known-bad cases, and recommended findings.
• Translate approved architecture patterns into secure reference implementations, templates, Helm charts, container images, and practical examples.
• Advance AI solutions from prototypes to enterprise-grade products, ensuring versioning, observability, latency and cost management, access control, auditing, graceful failure, and support/deprecation models.
• Establish enterprise-level architecture standards for AI tools within a security framework.
• Oversee qualification criteria, adoption, and results.
• Work collaboratively with teams developing AI and automation solutions through build reviews, platform sharing, adoption, validation, and closure of residual risks.
• Over 8 years of experience in security engineering, platform engineering, product security, infrastructure security, DevSecOps, developer experience engineering, or software engineering for large distributed systems.
• Proficient in AI coding agents and tools, including context and constraint injection, rules and scaffolds, plan-mode and tool integrations, as well as specification-guided development.
• Background in building evaluation harnesses and regression suites for non-deterministic systems.
• Strong skills in Kubernetes, Helm, container image hardening, identity management, networking, and infrastructure primitives.
• Solid software engineering fundamentals in Python or Go.
• Experience with CI/CD pipelines, static analysis, code generation tools, policy-as-code, schema validation, Git workflows, and automated publishing.
• Proven history of advancing systems from prototype to production at enterprise standards.
• Security architecture expertise encompassing threat modeling, control selection, isolation boundaries, workload identity, secrets management, logging, and auditing.
• Capability to make security specifications machine-checkable.
• Ability to function as both an architect and engineer, assess builds, articulate technical trade-offs, influence without direct authority, and enhance team capabilities.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
• Equity
• Benefits
Darktrace
Snowflake
Spark Power ⚡
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