Comcast
Media · Telecom + media
- HQ
- Philadelphia, US
- Founded
- 1963
- Website
- corporate.comcast.com
Currently tracking 18 active AI roles, down 63% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $115k–$451k (avg $224k).
Media · Telecom + media
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 19 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 (58%), application (11%), evaluation (11%). 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 (12 roles), India (6 roles).
Job postings at Comcast most frequently reference: agent orchestration, llm observability, model serving, tool use, inference infra.
In the past 30 days, Comcast has posted 14 new AI-related roles. That is a -62% change versus the prior 30 days (37 → 14).
| Title | Stage | AI score |
|---|---|---|
| Principal Machine Learning Engineer Principal Machine Learning Engineer to lead the design and evolution of large-scale AI platforms powering search, ranking, and recommendations used by millions of customers. This role involves shaping technical strategy, building production-grade ML systems, and driving innovation in personalization, generative AI, and real-time decisioning, working at the intersection of applied research and engineering. | AgentServe | 8 |
| 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 |
| Software Engineering Manager, AI Agents Software Engineering Manager to lead a backend engineering team building production-grade AI Agent systems. The role requires significant hands-on coding (at least 30%), people management, technical leadership, and ownership of execution and operational excellence for AI-heavy systems. Responsibilities include designing, building, and operating backend services, coaching engineers, ensuring responsible AI agent behavior, and translating product goals into technical plans. | Agent | 8 |
| Agent Evaluation Engineer This role focuses on building and managing evaluation pipelines, metrics, and automated systems to test the behavior, accuracy, and reliability of AI agents before release. It involves defining benchmarks, curating datasets, integrating evaluation into CI/CD, and monitoring agents in production. | Eval GateAgent | 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 |
| Python Engineer, Agentic AI Software Engineer to join an AI agents team, focusing on developing AI agents, prompt engineering, and supporting backend infrastructure. The role involves writing Python code, implementing tests, debugging LLM outputs, and collaborating within an Agile environment. Experience with Python, backend services, and testing is required, with AI/LLM interest being a plus. | Agent | 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 |
| Agentic AI Test Engineer Seeking an AI Agentic Test Engineer to build automated evaluation frameworks using LLM-as-a-Judge patterns and maintain web/API test suites. Focus on agent evaluation and full-stack automation in Python, with experience in CI/CD and troubleshooting. | Eval GateAgent | 7 |
| Sr. Python Engineer, Agentic AI Senior Backend Engineer to lead technical direction of AI Agent initiatives, focusing on building scalable, reliable backend systems and agentic workflows. Responsibilities include architectural leadership, agent behavior engineering, system quality, testing, mentorship, and production ownership for customer-facing AI experiences. | Agent | 7 |
| Engineer 3, Software Engineering This role focuses on building AI-powered applications, specifically intelligent workflow systems that integrate LLM reasoning into enterprise procurement and finance operations using Azure AI services. The engineer will architect and implement AI-driven workflow tooling, build lightweight web applications, and operationalize LLM-based reasoning within enterprise processes, moving from concept to production. | Agent | 7 |
| Sr. Director, Computer Vision Solutions Sr. Director, Computer Vision Solutions role at Comcast Business, focusing on scaling computer vision-powered solutions for enterprise customers. This is a customer-facing technical sales leadership position responsible for funnel growth, solution design, sales results, and deployment success, ultimately driving revenue growth. The role requires deep technical and sales acumen in computer vision, IoT, and networking. | Ship | 7 |
| Sr. Platform Engineer - AI Agentic This role focuses on designing, building, and operating cloud infrastructure for AI-enabled and Agentic platforms. The engineer will apply IaC practices, monitor platform health, lead troubleshooting, develop automation, implement observability solutions, and collaborate with AI teams to ensure platforms are operable, observable, and scalable. Foundational AI literacy is required to understand agent lifecycles and non-deterministic execution behaviors. The role also involves using AI-assisted tools for investigation and documentation, and participating in on-call rotations. | AgentServe | 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 |
| Data Scientist 3 This role focuses on developing decision-support technologies for Supply Chain planning and network optimization, leveraging Operations Research, mathematical optimization, and simulation. It also involves building and validating ML models for forecasting, classification, and decision-making, complementing core optimization solutions. The candidate will work with a US-based Data Science team to drive improvements and support technical design. | DataPost-train | 7 |