Comcast Cybersecurity: Cyber Security Engineer – AI & Agentic Platforms

Comcast

1d•Hybrid

About The Position

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary We build and design the tools of tomorrow to stop bad actors from harming our customers and our company. Our mission is to build, maintain, and advance the next generation capabilities that power Comcast’s global cybersecurity operations. This team owns the Premonition platform, which manages, deploys, and composes agentic pipelines at scale—combining large language models, high-performance data systems, and modern cloud infrastructure to give our security teams a decisive edge. We work with technologies like Python, SQL, Rust, JavaScript, LLMs (via Ollama, Bedrock, SageMaker), AWS, EKS, open table formats (Iceberg, Delta, Hudi), and embedded engines such as DuckDB and LanceDB. Our culture is supportive, caring, competitive, high ownership, and deeply technical: we help each other grow, we care about people as much as outcomes, and we push ourselves to solve hard problems at scale. If you want to apply advanced LLMs and high-performance data engineering to real-world cybersecurity threats affecting millions of customers, this is the place to do it. Job Description As an Engineer 3, Cyber Security Engineer on the Cybersecurity AI & Data Platforms team, you will develop and maintain Premonition, Comcast’s internal platform for managing, deploying, and composing agentic pipelines that power global cybersecurity operations. You will split your time between: building a robust, scalable platform for LLM and agent driven workflows, and optimizing the high-performance data layer supporting those workflows, including storage formats, compression, latency, and query performance across large datasets. This role sits at the intersection of applied AI and big data engineering. You will work with large language models, orchestration frameworks, and cyber focused agentic pipelines, while also owning the data and infrastructure foundations that make those systems fast, reliable, and cost-effective at Comcast scale. You’ll 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.

Nice To Haves

Demonstrated experience building LLM based applications or agentic workflows (not just prompt tinkering).
Hands on experience with agentic workflows: agents, tools, orchestration, multistep pipelines.
Experience with LLM platforms: Ollama, Amazon Bedrock, SageMaker.
Familiarity with orchestration frameworks: LangChain, LlamaIndex, or equivalent internal tooling.
Production experience with Iceberg, Delta Lake, or Hudi.
Experience with DuckDB or LanceDB.
Experience with Rust and/or JavaScript/TypeScript.
Experience with workflow/orchestration tools: Airflow, Temporal, Argo.
Prior exposure to cybersecurity domains (SOC, IR, threat hunting, security engineering).
Experience in largescale enterprise or telecom environments with high security/reliability/compliance requirements.

Responsibilities

Design, build, and maintain the Premonition platform for managing, deploying, and monitoring agentic pipelines.
Develop composable building blocks—agents, tools, pipelines, evaluators, and configuration—to enable rapid workflow assembly and iteration.
Implement robust APIs, orchestration, and infrastructure integrations on AWS and EKS for reliable LLM and agent driven workloads.
Engineer and optimize the high performance data layer, including Iceberg/Delta/Hudi, compression, indexing, latency, and largescale query performance.
Work with embedded engines such as DuckDB and LanceDB to enable interactive, low latency analytics.
Collaborate with cybersecurity stakeholders (SOC, IR, threat hunters, engineers) to translate workflows into secure, automated, observable pipelines.
Experiment with and productionize LLM and agent patterns (RAG, tool use, multistep agentic workflows), including evaluation, safety, and guardrails.
Own the full lifecycle of Premonition services: design, implementation, testing, deployment, observability, performance tuning, and continuous improvement.
Contribute to and enforce standards and best practices for LLM/agent usage, data management, security, and governance.
Participate in design/code reviews and foster a supportive, caring, competitive, high ownership, deeply technical culture.