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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineering Lead, Security Core AI - Agentic SOC Platform (hybrid) - **Company:** Cisco Systems, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $214,100.0 - $309,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Debugging, Distributed Systems, Intrusion Detection and Prevention, Software Maintenance, Security Information and Event Management, Software Engineering, AI Platforms, Splunk, Cisco, Security Orchestration, Automation & Response - **Published:** August 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18073164?backUrl=%2Fcareer%2F18073164%2FAi-Platform-Engineering-Lead-Security-Core-Ai-Agentic-Soc-Platform-Hybrid-California-San-Jose ## About the Role * Bachelors + 10 years experience, or Masters + 7 years experience, or PhD + 3 years experience; all experience to be related to role. * 4+ years of technical leadership or management experience in a software engineering or SOC environment * Experience delivering and maintaining software in public cloud (AWS, Azure, or GCP) and/or on-premises or air-gapped environment. * Experience delivering large-scale distributed systems, AI platforms, or data-intensive services, * Knowledge of AI and agentic-systems with the ability to guide technical decisions, quality expectations, risk management, and delivery. * Experience with SIEM, SOAR, threat detection, and/or incident response technologies and/or workflows * Experience executing through complex partner relationships and adopting shared technologies across large organizations; Cisco or Splunk or experience with similar SIEM technologies is valued. * Proven success scaling engineering practices, using AI-assisted development responsibly, mentoring technical leaders, and building high-performing teams. ## Description As the Software Engineering Manager of the Security Core AI team, you'll lead a sizable engineering team creating trusted AI capabilities that help security organizations detect, investigate, and respond to threats. You will combine software engineering judgment, people leadership, and cross-functional execution to deliver capabilities across cloud, on-premises, sovereign cloud, and air-gapped environments in partnership with teams across Cisco and Splunk. * Lead, coach, and develop a sizable team of software engineers, establishing clear expectations, accountability, and career growth. * Translate Security Core AI strategy into practical roadmaps, staffing plans, priorities, and release-aligned execution. * Lead delivery of shared AI capabilities for the Agentic SOC from requirements and architecture through integration, adoption, and improvement. * Partner with security-domain teams to translate SOC, SIEM, detection, incident, investigation, and response needs into scalable engineering outcomes. * Coordinate with product, architecture, deployment, quality, release, operations, support, and engineering partners to land capabilities end to end. * Build strong relationships with Cisco and Splunk AI platform teams; evaluate shared technologies, drive adoption, and represent Security requirements. * Balance near-term product commitments with convergence toward common platform, orchestration, and evaluation approaches. * Guide delivery across cloud, on-premises, sovereign cloud, and air-gapped environments addressing residency, connectivity, deployment, upgrade, and resource constraints. * Establish goals and metrics for delivery, AI quality, reliability, security, adoption, cost, and customer impact. * Promote responsible use of AI tools throughout requirements, design, coding, review, testing, documentation, debugging, release, and production improvement. * Hire, onboard, retain, and manage performance while building an inclusive, accountable, and continuously improving engineering culture. * Coach technical leaders and senior engineers, delegate meaningful ownership, and build succession and growth paths. * Resolve dependencies and priority conflicts, communicate trade-offs, and maintain stakeholder alignment as requirements and schedules change. * Represent the team in planning, architecture, customer, and executive discussions. ## Related Videos - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [This App Reached 10,000 Users in One Week. 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