AI LLMOps Engineering Technical Leader
Core
Drive the operationalization of complex autonomous agent architectures (Agentic AI) into secure, scalable, and high-performing production environments for Cisco's Customer Experience platform.
Role type
Senior IC AI LLMOps Engineering Technical Leader
Builds
Agentic AI platforms, MLOps pipelines, and model serving architectures for customer-facing products
Domain
AI/ML, Cloud Infrastructure, Customer Experience
Deliverable
production ML models
Required skills
MLOps practices, LLM operationalization (OpenAI, Anthropic, Llama), LLM frameworks (LangChain, LangSmith), Python/Java, API development (FastAPI, Flask, Spring Boot), CI/CD for ML, MLOps frameworks (ClearML, MLflow, Weights & Biases), containerization (Docker, Kubernetes)
Preferred skills
Agentic AI development, multi-agent workflows, GPU compute scaling, AI API gateways (Apache APISIX, LiteLLM), threat modeling (prompt injection, data leakage), technical mentorship
Technologies
OpenAI, Anthropic, Llama, LangChain, LangSmith, FastAPI, Flask, Spring Boot, ClearML, MLflow, Weights & Biases, Docker, Kubernetes, Apache APISIX, LiteLLM
Responsibilities
Define and establish robust MLOps practices and foundational ML pipelines; Design and implement telemetry monitoring tools for token usage and agent reasoning; Manage containerized models on GPU clusters; Guide architectural choices and mentor peers on Agentic AI platforms
Seniority
Senior, hands-on IC with leadership responsibilities