
Senior Agentic AI Engineer
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in California, +2 more states.
β’ Design, develop, secure, and manage governed agentic AI functionalities for Security Defense Technologies.
β’ Create agentic workflows, AI-enhanced applications, tool integrations, retrieval methodologies, and deterministic security automation.
β’ Specify agent boundaries, identities, permissions, approved tools, human approval checkpoints, auditability, rollback procedures, and emergency-stop protocols.
β’ Construct reusable services and components utilizing Python, APIs, Git-based CI/CD, containers, and enterprise automation platforms.
β’ Employ secure SDLC methodologies, including threat modeling, code and dependency scanning, testing, peer review, and production-readiness assessments.
β’ Implement telemetry for agent decisions, tool interactions, failures, quality assessments, security incidents, and operational health monitoring.
β’ Collaborate with security engineering, architecture, governance, platform, and operations teams to transition validated prototypes into supported capabilities.
β’ Document architecture, controls, runbooks, test evidence, ownership, and support frameworks.
β’ Undertake additional responsibilities as assigned.
β’ Adhere to all policies and standards.
β’ Must possess authorization to work in the U.S. without the need for employment-based visa sponsorship, now or in the future.
β’ Bachelor's degree in a quantitative or business discipline (e.g., statistics, mathematics, engineering, computer science), or equivalent experience gained through relevant knowledge, duties, scope, and skills.
β’ Requires 4β6 years of pertinent experience.
β’ Senior-level experience in building production software, security automation, platform engineering, or AI-driven systems.
β’ Direct experience with agentic AI is highly preferred, or demonstrated expertise in software engineering along with applied AI/LLM development.
β’ Familiarity with AWS, Bedrocks, and Databrisks is preferred.
β’ Intermediate skills in analytical thinking, project management, judgment, decision-making, accuracy, independent work, and problem identification.
β’ Competitive pay.
β’ Health insurance.
β’ 401K.
β’ Stock purchase plans.
β’ Tuition reimbursement.
β’ Paid time off plus holidays.
β’ Flexible work arrangements including remote, hybrid, field, or office schedules.
β’ Additional incentives may be included in the total compensation package.
Juniper Square
Brown and Caldwell
8am
Get handpicked remote jobs straight to your inbox weekly.