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 |
|---|---|---|
| Principal Engineer - Agentic AI Principal Engineer role focused on designing, building, and operating agentic AI systems for Comcast's Xfinity applications. The role involves creating reusable AI agents, integrating them into customer-facing chat experiences, and applying AI across the software development lifecycle. It emphasizes production delivery, scalability, observability, and ethical AI use, with a strong focus on agent-to-agent and human-AI orchestration. | Agent | 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 |
| Engineer 3, Agentic AI This role focuses on designing, building, and operating agentic AI systems for Comcast's Xfinity applications, specifically enhancing the chat experience with AI-driven agents. The engineer will leverage tools like ADK and Gemini Enterprise to create reusable agents, integrate them into various workflows, and ensure production readiness with a focus on reliability, scalability, and observability. The role also involves applying AI across the software development lifecycle, including AI-augmented coding and testing, and contributing to AgentOps and AI governance. | Agent | 8 |
| Sr. Software Engineer - Agentic AI This role focuses on designing, building, and operating agentic AI systems for Comcast's Xfinity applications, specifically enhancing the chat experience by transitioning from human-assisted to fully AI-driven workflows. The engineer will leverage tools like Agent Development Kit (ADK) and Gemini Enterprise to create reusable AI agents, focusing on agent logic, workflows, integrations, and production deployment. | 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 |
| 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 |
| Quality Engineering Lead – Agent Evaluation & AI Platforms Seeking a Quality Engineering Lead (SDET 4) to lead the quality strategy for AI initiatives, focusing on Agentic AI validations and evaluation strategies within Google ADK environments. The role involves orchestrating release cycles, managing defect lifecycles, conducting code reviews, and ensuring the quality of AI agent logic, workflows, and production deployments. | 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. 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 |