Currently tracking 18 active AI roles, down 67% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $115k–$451k (avg $224k).
Comcast currently has 23 active AI-related job listings. The majority of these roles, 65%, are focused on agents. Engineering is the dominant function, with 21 roles, and hiring is primarily in the United States and India. The company is frequently seeking candidates with experience in agent orchestration, LLM observability, and model serving. In the last 30 days, Comcast has added 35 new AI roles, representing a 192% increase compared to the previous 30-day period.
Comcast currently has 25 active AI-related roles in our index. The most common open titles are: Engineer 3 - Machine Learning (3), Agent Evaluation Engineer, Agentic AI Test Engineer, Data Scientist 3, Development Engineer 4. Most positions are in Engineering and Product.
Comcast's active AI hiring is concentrated in: agents (68%), application (16%), evaluation (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Comcast is hiring AI talent in: United States (18 roles), India (6 roles).
Job postings at Comcast most frequently reference: agent orchestration, llm observability, model serving, evals, tool use.
In the past 30 days, Comcast has posted 25 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Engineer 3 - Machine Learning Machine Learning Engineer to design, develop, and deploy ML models for diverse business use cases, with exposure to classical ML, deep learning, and Generative AI. Requires strong Python, ML fundamentals, and experience with end-to-end ML lifecycle, including data processing, pipeline building, deployment, and monitoring. | Serve | 7 |
| Engineer 4, Machine Learning N-E084660-0533-CIEC This role focuses on directing advanced machine learning projects for decision automation and pattern recognition, involving goal setting, prototype design, research leadership, solution management, documentation, and mentoring. It requires high-level ML expertise and innovation. | Serve | 7 |
| Sr. Principal Machine Learning Engineer |
| ServeAgent |
| 7 |
| Engineer 3 - Machine Learning Develops and deploys machine learning algorithms, trains models, validates accuracy, and deploys them into production. Also involved in data pipelines, research, and testing solutions. | ServePost-train | 7 |
| Principal AI & Automation Engineer This Principal AI & Automation Engineer role focuses on leading QA strategies and working with development for product excellence in cloud-native, microservices-based broadband systems. The role involves architecting intelligent, self-adaptive test automation frameworks using AI/ML-driven testing approaches to transform complex system requirements into scalable, resilient, and insight-driven quality solutions. Key responsibilities include designing self-healing and adaptive test systems, implementing shift-left and shift-right QA strategies, developing data-driven and model-based testing approaches, and integrating QA deeply into DevOps/MLOps pipelines. | Serve | 5 |
| Director of Observability & Developer Excellence Director of Observability to lead observability as a core pillar of the Developer Experience organization. This role focuses on empowering engineers with fast, actionable feedback about their systems. Responsible for leveraging AI to make observability services much easier to use. Will build scalable cloud/hybrid observability platforms with vendor-neutral instrumentation (e.g., OpenTelemetry) and set guardrails for telemetry quality, retention, and privacy. | Serve | 5 |