Own the agent layer of the agentic framework — the build, not the design. Run the agent development pipeline: LLM integration, prompt-to-action engineering, agent evaluation and testing, and the reusable agent components the rest of the function depends on.
Locations (3)
United Kingdom
India
United States
Responsibilities
Own the agent layer: agent development pipeline, LLM integration, prompt-to-action engineering and agent lifecycle.
Own agent evaluation and testing, including credible approaches to non-deterministic output.
Build GenAI security use cases such as alert triage automation and threat summarisation.
Develop reusable agent components that reduce effort on the next build.
Build to AI Architecture's specifications and raise design problems rather than engineering around them.
A senior technical authority shaping the security standard for every AI capability Cisco ships, focusing on AI-native features, AI-assisted development, and architectural leadership for AI security.
Compensation
The starting salary range posted for this position is $202,100.00 to $271,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Author and evolve threat models, architecture patterns, and security requirements for AI-native features
Set the standard for coding assistants and agent-authored code
Lead design reviews, codify reusable patterns, and define measurable release criteria
Own abuse and adversarial case coverage — data poisoning, model extraction, model inversion, membership inference, insecure output handling, and RAG compromise
Advance red-teaming strategy, evaluation harnesses, and release checkpoints for AI capabilities
Build and scale backend systems that power LLM applications in healthcare.
Compensation
Compensation: The base salary for this role ranges from $200,000 to $275,000, depending on experience and qualifications. We also offer equity and benefits as part of our total compensation package.
Responsibilities
Architect and implement scalable, low‑latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases.
Build ingestion, preprocessing, and retrieval‑augmented generation (RAG) pipelines to ground LLMs in clinical and revenue‑cycle data.
Design systems for model monitoring, evaluation, cost tracking, and guardrails, ensuring reliability and responsible use.
Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud and containerized environments.
Implement HIPAA‑ready infrastructure, data governance, and auditability for LLM‑powered applications.
Lead AI security standards and architecture across Cisco’s platforms, shaping secure AI capabilities for customers, partners, and internal users.
Locations (4)
Research Triangle Park, North Carolina, United States
New York City, New York, United States
Washington, United States
Illinois, United States
Compensation
The starting salary range posted for this position is $202,100.00 to $271,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
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