AI Operations Engineer

Cisco

Confirmed live today High trust

Closes in 2 days Hybrid

Quick summary

Work type: Hybrid
Location: RTP, NCAustin, TXNashville, TNAtlanta, GAChicago, IL
Salary: $169,800–$214,800 / yr
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live today
Closes: Oct 29, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k

This role $192k

$111k $226k

below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $135,187–$208,850 — the blue band above. At the midpoint, this role pays about $192k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 307 open roles on FindRole.

Listed pay typically runs $167,700–$245,000 across 224 roles with salary data.

Most-posted roles

View all roles at Cisco

At a glance

TL;DR · AI Operations Engineer

Role Posting Log in to save

The AI Operations Engineer joins a small team of developers supporting vulnerability tracking and disclosure processes. In this role, you will build and operate agentic AI workflows to accelerate how the organization assesses, remediates, and reports security vulnerability applicability across internal and third-party code bases. Your daily responsibilities include developing production APIs, designing scaling strategies based on compute performance, and crafting feedback loops to improve the correctness of agentic actions. You will utilize Python, SQL, and cloud platforms while implementing RAG, embeddings, and structured outputs using foundation models like OpenAI GPT, Anthropic Claude, and Google Gemini. Technical requirements include experience with LangChain, LangGraph, Docker, Kubernetes, and vector databases to solve complex security domain problems and enhance information services for customers.

Skills

Python Large Language Models RAG LangChain LangGraph OpenAI GPT Anthropic Claude Google Gemini Docker Kubernetes Vector Databases CI/CD REST APIs Git Observability Fine-tuning SQL MCP

What you'll do

Develop, build, and operate agentic AI workflows for security vulnerability analysis.
Evaluate the performance of system outputs to ensure accuracy and reliability.
Locate new data sources and craft feedback loops to improve agentic actions.
Design scaling strategies and infrastructure based on compute performance evaluations.
Partner with vulnerability analysts to validate AI-generated outputs.
Incorporate AI enhancements into existing tools to improve team workflows and customer services.
Build and implement production APIs and services powered by large language models.

What we're looking for

7+ years of professional software-development experience, including the design and delivery of applications powered by large language models.
Proficiency in Python and experience developing production APIs and services.
Experience using commercial foundation models and implementing RAG, embeddings, structured outputs, and agentic workflows.
Experience with cloud platforms, REST APIs, SQL/data systems, Git, CI/CD, and observability tools.
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical rigor (or equivalent professional experience) (preferred).
Certifications in or proven experience working in computer security or vulnerability management (preferred).
Experience with LangGraph, LangChain, or equivalent orchestration frameworks, and LLM observability platforms (preferred).
Experience with Docker, Kubernetes, vector databases, and MCP; or equivalent (preferred).

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