Principal Cloud Engineer - AI Agentic

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 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.

What You’ll Do: 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. Required Skills & Technical Experience