Cyber Security Engineer – AI & Agentic Platforms

NBCUniversal

Cyber Security Engineer developing and maintaining agentic pipelines for Comcast's cybersecurity operations. Collaborating with security teams to optimize large datasets and performance.

Posted 7/17/2026full-timeCalifornia, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington • 🇺🇸 United StatesSeniorLead💰 $98,678 - $231,278 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAWS and Kubernetes ExperienceHigh Performance Data EngineeringLLM Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLAPI DevelopmentMicroservicesData EngineeringIcebergDelta LakeHudiRustJavaScript

Soft Skills

Strong CommunicationCollaboration

Tools & Technologies

AWSKubernetesOllamaAmazon BedrockSageMakerLangChainLlamaIndexDuckDBLanceDB

Industry Keywords

Agentic WorkflowsOrchestration FrameworksHigh Ownership EnvironmentSecurity OperationsIncident Response

Tech Stack

Tools & technologies

AWSJavaScriptKubernetesMicroservicesPythonRustSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Professional development opportunities
Commission and bonus eligibility