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# Principal Cloud Engineer - AI Agentic

- **Company:** Comcast
- **Location:** West Chester, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Application Release Automation, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Distributed Systems, Hardware Security Module, Identity and Access Management, Python (Programming Language), Key Management, Network Security, Performance Tuning, Ansible, Prometheus, Shell Script, Data Logging, Cloud Platform System, System Availability, Grafana, Multi-Agent Systems, Infrastructure as Code (IaC), Containerization, AI Platforms, Pyspark, Kubernetes, Apache Kafka, Cloud Optimization, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Splunk, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3342457676&tx=JT989TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Cloud Infrastructure Engineering (AWS, Azure, or GCP)
 * Kubernetes & Container Platforms
 * Infrastructure as Code (Terraform, Packer, Ansible, or equivalent)
 * Python Programming for automation and operational tooling
 * Monitoring, Logging, and Alerting Systems
 * CI/CD Tools and Release Automation
 * Security Fundamentals (IAM, secrets management, encryption, network security)

Preferred / Nice -to -Have Skills

 * Experience supporting AI, ML, or Agentic platforms in production
 * Familiarity with data and streaming platforms (e.g., S3, SQS, Kafka-like systems)
 * Experience with PySpark, Databricks, or data processing pipelines
 * Understanding of networking and protocol standards
 * Exposure to hardware security modules (HSMs) or advanced key management solutions
 * Experience operating large-scale distributed systems
 * Cloud cost optimization and performance tuning experience, Infrastructure As Code (IaC); Cloud Infrastructure; Cloud Architectures; Critical Thinking; Adaptability; AI Agents; Curious Mindset, Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

## Description

The AI Agentic Team is responsible for designing, building, and operating intelligent agents end-to-end. They develop agent logic, workflows, integrations, and decision frameworks, then deploy those agents into production and own their ongoing behavior, reliability, and impact. The team monitors agent performance, validates AI-driven actions with human judgment, and iterates on designs as systems encounter real-world complexity. By owning both construction and operations, they ensure that agentic platforms are not just innovative, but reliable, secure, and scalable in production.

The Principal Cloud Engineer is responsible for designing, operating, and improving cloud-based platforms that support AI-enabled and Agentic systems in production. This role focuses on cloud infrastructure, platform reliability, automation, observability, and secure operations, while collaborating closely with engineering, AI platform, security, and operations teams.

The position requires strong systems thinking, operational ownership, and adaptability, leveraging AI-augmented tools to enhance efficiency while ensuring reliability, security, and ethical use of AI technologies., * Design, implement, and operate cloud infrastructure supporting scalable, highly available AI-enabled and Agentic platforms.

 * Apply Infrastructure as Code (IaC) practices (e.g., Terraform, Packer, Ansible) to provision and manage cloud resources consistently and securely.
 * Monitor platform health using metrics, logs, dashboards, and alerts, applying critical thinking to distinguish infrastructure, application, and AI-driven failures.
 * Lead troubleshooting and resolution of complex cloud and platform issues, including distributed system and integration failures.
 * Develop and maintain automation and tooling (primarily Python and shell scripting) to improve reliability, diagnostics, and operational efficiency.
 * Implement and evolve observability solutions (e.g., Prometheus, Splunk, Grafana, CloudWatch) to improve system transparency and alert quality.
 * Collaborate with application, data, and AI teams to ensure platforms are operable, observable, and scalable prior to and after release.
 * Support CI/CD pipelines and release workflows, enabling safe and repeatable deployments across environments.
 * Ensure secure cloud operations, including secrets management, access controls, encryption, and secure networking practices.
 * Apply foundational AI literacy to understand agent lifecycles, orchestration patterns, and non-deterministic execution behaviors that impact operations.
 * Use AI-assisted tools to enhance investigation, documentation, and optimization, while validating outputs with sound engineering judgment.
 * Contribute to and maintain runbooks, platform documentation, and operational standards.
 * Participate in on-call rotations and act as an escalation point during production incidents.
 * Perform other duties and responsibilities as assigned.


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