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Senior, niche AI-security platform role reduces applicant density despite Cisco's strong brand and Bangalore location.
Highly domain-specific AI, security, and cloud-native platform expertise limits cross-industry transferability.
Explicit 12+/13+ years, mandatory LLM production, security, cloud-native and specific language requirements enforce strict shortlisting.
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Define and embed AI and security capabilities into Cisco’s core networking and security products focusing on LLMs, Zero Trust, and cloud-native systems.
Design and build cloud-native security platforms leveraging Kubernetes, large-scale telemetry/data pipelines, and runtime security tools such as Tetragon/eBPF for threat detection and policy enforcement.
Lead end-to-end architecture and production delivery, collaborating with product teams to innovate and monetize AI-driven security solutions, while mentoring across security, AI, and platform engineering teams.
12+ years of experience in platform engineering, distributed systems, or security architecture.
Strong expertise in network and cloud security including firewalls, Zero Trust, and secure access.
Hands-on experience with cloud-native security technologies like Tetragon, eBPF, or similar and production experience building and scaling LLM/AI applications for security use cases.
Proficient programming skills in C/C++, Go, and/or Java; plus Python for AI integration and automation.
Experienced leader capable of driving cross-functional initiatives from concept to production in large-scale AI and security platform environments.
Strong product mindset linking technical platform innovation to business outcomes within multi-cloud and security-first architectures.
Technically adept in designing and deploying secure, scalable, AI-embedded networking and security solutions with deep domain knowledge in Zero Trust and identity-driven architectures.