Comcast

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.

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.

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.

Senior Machine Learning Engineer responsible for leading the technical design, delivery, and architectural ownership of ML systems and platforms, with a focus on LLM-powered systems and agent development. The role involves driving technical strategy, defining best practices, and improving system reliability and scalability.

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.

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.

Mid-level Backend Engineer role focused on building scalable backend systems for an AI platform that processes multimodal content (video, images, audio, documents) and enables LLM-driven applications through agents and MCP servers. The role involves Golang development, Kubernetes deployment, Terraform for infrastructure, and AWS services, with a focus on enabling LLMs to interact safely with tools, data, and services.

This role focuses on implementing, training, and deploying machine learning models for consumer products. It involves designing data pipelines, documenting technical aspects, and contributing to research for future product development. The position also includes evaluating ML solutions and creating proof-of-concept strategies.

This role focuses on implementing, training, and deploying machine learning models for consumer products. It involves designing data pipelines, documenting technical aspects, and contributing to research for future product development. The position also includes evaluating ML solutions and creating proof-of-concept strategies.

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.

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.

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.

Senior leadership role responsible for leading and coordinating the strategic development of MLR solutions in the advertising technology domain. Requires a blend of business understanding, critical thinking, and expertise in ML methodologies, business process, and systems architecture design. Key duties include designing algorithm integration into systems, leading technical teams, and collaborating with stakeholders to drive economic growth.

This co-op role focuses on extracting knowledge and insights from large, complex datasets using data preparation, modeling, analysis, and visualization techniques. The role involves applying advanced statistical analysis, algorithms, predictive modeling, and machine learning to solve business problems and enhance products, with a focus on data preparation and analysis.

Co-op role focused on developing predictive models and extracting insights from large datasets to address business problems and enhance business performance within Comcast's Enterprise Business Intelligence team. The role involves data preparation, modeling, analysis, and applying machine learning techniques to drive profitable growth.

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.

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.

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.

Sr. Principal Machine Learning Engineer to lead the design, implementation, and evolution of the ML stack for Universal Ads, focusing on systems for performance advertising, pacing optimization, and real-time prediction services. The role involves architecting scalable distributed ML systems for high-throughput ad environments, setting ML strategy, and establishing experimentation frameworks.

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.

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.

Software Engineer to build and enhance production AI-enabled features for an AI-powered platform used by customer service agents, retail associates, and field technicians. The role involves developing user-facing experiences, integrating AI/LLM services, and contributing to backend services within a .NET/React environment, focusing on reliability, explainability, and scalability in enterprise settings.

AI/Data Engineer responsible for building, supporting, and maintaining a modern audit data platform that supports advanced data analytics, automation, and artificial intelligence. Focuses on designing scalable, resilient data pipelines and AI solutions with an emphasis on automation, quality, governance, and observability.

This role focuses on designing and building automation-first Go-to-Market (GTM) systems, including agentic systems and LLM-driven workflows, to increase efficiency and drive revenue within an advertising platform. The individual will identify, build, and deploy solutions across Growth Marketing, Sales, and Customer Success.

Develops and deploys machine learning algorithms, trains models, validates accuracy, and deploys them into production. Also involved in data pipelines, research, and testing solutions.

This role focuses on leading AI research, discovery, and development within Finance Technology Automation & AI at Comcast. The primary responsibility is to translate emerging AI capabilities into scalable, production-ready solutions that align with enterprise standards. The role also involves acting as a technical partner to finance users, identifying automation opportunities, prototyping AI solutions, and driving adoption of AI tooling. Additionally, the role contributes to cross-functional forums, provides technical leadership and mentorship, and ensures the integrity and alignment of the functional platform with business needs.

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.

This role involves leading the strategic development and implementation of an AI Ops platform and software development solutions, with a focus on leveraging LLMs, prompt engineering, and agent frameworks. The engineer will develop and evaluate software solutions in public and private cloud environments, with experience in data engineering and IAC.