Cyber Security Engineer – AI & Agentic Platforms

Jobtailor; California (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Comcast is seeking an experienced engineer to develop and maintain Premonition, a high-performance platform for agentic workflows and LLM-enabled pipelines. You will optimize data layers, implement scalable APIs, and collaborate with security teams to ensure secure, observable systems.

The role emphasizes building production-grade APIs, data engineering expertise, and hands-on orchestration across LangChain, Iceberg/Delta/Hudi, and cloud-native tech. Expect a senior, technical environment.

Qualifications

• Production-grade Python development experience.
• Strong SQL skills with large datasets.
• Design, build, and operate production APIs or microservices with testing and CI/CD.
• Experience with AWS and Kubernetes/EKS.
• Experience with high-performance data engineering (Iceberg/Delta/Hudi).
• Ability to work in a deeply technical, high-ownership environment.
• Strong communication with security stakeholders.
• Experience building LLM-based applications or agentic workflows.
• Hands-on with agentic workflows: agents, tools, orchestration, multistep pipelines.

Responsibilities

• Develop and maintain Premonition, Comcast’s internal platform for managing, deploying, and composing agentic pipelines.
• Build a robust, scalable platform for LLM and agent driven workflows.
• Optimize the high-performance data layer supporting workflows, including storage formats, compression, latency, and query performance across large datasets.
• Work with large language models, orchestration frameworks, and cyber focused agentic pipelines.
• Partner closely with security operations, incident response, and threat hunting teams to translate real-world workflows into secure, composable, and observable agentic systems.

Skills

Python

SQL

APIs / Microservices

AWS

Kubernetes/EKS

LLM workflows

Agentic workflows

Communication with security teams

Rust/JS/TypeScript

Tools

Iceberg/Delta/Hudi

DuckDB / LanceDB

LangChain / LlamaIndex

Ollama

Bedrock / SageMaker

Job description

• Develop and maintain Premonition, Comcast’s internal platform for managing, deploying, and composing agentic pipelines.
• Build a robust, scalable platform for LLM and agent driven workflows.
• Optimize the high-performance data layer supporting workflows, including storage formats, compression, latency, and query performance across large datasets.
• Work with large language models, orchestration frameworks, and cyber focused agentic pipelines.
• Partner closely with security operations, incident response, and threat hunting teams to translate real-world workflows into secure, composable, and observable agentic systems.

Requirements

• Strong production experience with Python.
• Solid SQL skills and experience working with large datasets.
• Experience designing, building, and operating production APIs or microservices, including testing, observability, CI/CD.
• Experience running workloads on AWS and Kubernetes/EKS.
• Experience with high performance data engineering, including: Iceberg, Delta, or Hudi; or optimizing storage, compression, latency, and analytical query performance.
• Ability to work in a deeply technical, high ownership environment and collaborate effectively across functions.
• Strong communication skills with the ability to work closely with security stakeholders and translate workflows into technical designs.
• Demonstrated experience building LLM based applications or agentic workflows (not just prompt tinkering) - preferred.
• Hands on experience with agentic workflows: agents, tools, orchestration, multistep pipelines - preferred.
• Experience with LLM platforms: Ollama, Amazon Bedrock, SageMaker - preferred.
• Familiarity with orchestration frameworks: LangChain, LlamaIndex, or equivalent internal tooling - preferred.
• Production experience with Iceberg, Delta Lake, or Hudi - preferred.
• Experience with DuckDB or LanceDB - preferred.
• Experience with Rust and/or JavaScript/TypeScript - preferred.

Core Competencies

Demonstrates expertise in developing and maintaining scalable platforms for LLM and agent-driven workflows, with a strong focus on optimizing high-performance data layers and collaborating with security teams to create secure systems. Proficient in building production APIs and microservices, with hands‑on experience in data engineering and orchestration frameworks.