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 Senior Machine Learning Engineer to lead the technical design and delivery of ML systems and platforms, focusing on architectural ownership and technical leadership for ML and LLM-powered systems. Responsibilities include driving technical strategy, leading complex ML initiatives, defining best practices for model development and evaluation, establishing standards for prompt engineering and LLM safety, and mentoring engineers. The role also involves driving framework and platform strategy for LLM and agent development. | AgentServe | 8 |
| Engineer 2 - Machine Learning Senior Machine Learning Engineer to lead the technical design and delivery of ML systems and platforms, focusing on architectural ownership, technical leadership, and raising the engineering bar. Responsibilities include owning the design and evolution of critical ML services, driving technical strategy for ML and LLM-powered systems, leading complex ML initiatives, defining best practices for model development, evaluation, deployment, and monitoring, establishing standards for prompt engineering, LLM evaluation, safety, and agent design, mentoring engineers, improving system reliability, scalability, and maintainability, representing ML technical decisions, and driving framework and platform strategy for LLM and agent development. |
| AgentServe |
| 8 |
| Engineer 3 - Machine Learning Seeking a Machine Learning Engineer to independently deliver ML features and own components of production ML systems, with an emphasis on end-to-end ownership, technical judgment, and collaboration. The role involves designing, building, deploying, and operating ML features and services, owning ML pipelines and model behavior, solving complex ML and system-level problems, improving ML system performance, and collaborating with cross-functional partners. A key focus is on designing and building LLM-based features, including prompt strategies, evaluation pipelines, chatbots, or agent workflows, utilizing LLM and agent frameworks. | AgentServe | 7 |
| Development Engineer 4 This role involves designing and customizing software applications, with a focus on AI Ops platforms and automation solutions leveraging cloud services (AWS, Google Cloud). The engineer will work with LLMs, prompt engineering, and agent frameworks, develop IAC solutions, and collaborate with stakeholders to meet business needs. Responsibilities include leading development, evaluating cloud solutions, mentoring junior staff, and ensuring software reliability and documentation. | Agent | 7 |