Sr. Platform Engineer - AI Agentic

Job Summary The AI Agentic Team will design, build, and operate intelligent agents end-to-end, developing agent logic, workflows, integrations, and decision frameworks. The team deploys these agents into production, owning their ongoing behavior, reliability, and impact while continuously monitoring performance and applying human judgment to validate AI-driven actions. Responsibilities Design, implement, and operate scalable, highly available cloud infrastructure for AI‑enabled and Agentic platforms using IaC practices (Terraform, Packer, Ansible). Monitor platform health with metrics, logs, dashboards, and alerts; differentiate 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 in Python and shell scripting to improve reliability and operational efficiency. Implement and evolve observability solutions (Prometheus, Splunk, Grafana, CloudWatch) to enhance system transparency and alert quality. Collaborate with application, data, and AI teams to ensure platforms remain operable, observable, and scalable before and after releases. 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; validate outputs with sound engineering judgment. Contribute to 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. Qualifications Cloud Infrastructure Engineering experience with AWS, Azure, or GCP. Proficiency with Infrastructure as Code tools (Terraform, Packer, Ansible, or equivalent). Python programming for automation and operational tooling. Experience with monitoring, logging, and alerting systems. Familiarity with CI/CD tools and release automation. Security fundamentals: IAM, secrets management, encryption, network security. Education: Bachelor’s Degree in a related field (or equivalent combination of coursework and experience). Relevant work experience: 7-10 years. 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). 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. Disclaimer This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not intended to be a comprehensive inventory of all duties, responsibilities, and qualifications. EEO Statement Comcast is an equal opportunity workplace. We consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. #J-18808-Ljbffr