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 evaluating, validating, and measuring LLM behavior within NLP pipelines and ML quality frameworks. The engineer will design and implement automated test strategies and frameworks for ML models, NLP systems, and backend services, including model validation, benchmarking, and drift detection. Experience with LLM evaluation frameworks and testing ML models is required.

Software Development Engineer in Test (SDET) focused on ML & LLM Systems, specifically evaluating and validating LLM behavior, performance, and reliability. The role involves designing and implementing automated test strategies, frameworks, and pipelines for ML models, NLP systems, and LLM evaluations, ensuring quality before deployment.

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.

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 focuses on leveraging data science to extract insights from complex datasets and drive business innovation by crafting predictive models, performing in-depth analysis, and collaborating with teams to address data-centric questions. The role supports strategic initiatives by transforming data into actionable intelligence within a structured guidance framework.

Software development and engineering role focused on BSS/OSS systems, cloud environments (AWS, Azure, GCP), Java, Spring Boot, microservices, databases, messaging tools, API security, CI/CD, and observability. Includes AI/ML operations using ELK stack for visualization, alerting, and anomaly detection.

Senior Data Engineer responsible for designing, maintaining, and automating data pipelines and ETL processes using various technologies including PostgreSQL, BigQuery, PySpark, Python, Glue, and Airflow. The role involves processing data on cloud platforms (AWS, GCP), developing data visualizations, performing data analysis for optimization and insights, and collaborating with data scientists and engineers on AI/ML techniques for WiFi CX optimization. The position also requires building business insights, solving critical issues, and mentoring junior engineers.

This is a co-op role focused on supporting the enablement and adoption of AI tools (specifically Cresta) within Comcast's customer service operations. The role involves translating AI capabilities into practical strategies, analyzing adoption patterns, and developing materials to improve the use of AI by frontline teams and coaches. The goal is to enhance customer experience outcomes through effective AI integration.

This is a co-op position in HR/Workforce Analytics and Data Science. The role involves analyzing workforce data, building forecasting models, evaluating incentive plans, and applying analytical techniques to inform HR and business strategy. The co-op will use programming skills to aggregate, transform, and analyze data, and communicate findings through data storytelling.

This role focuses on managing the post-activation lifecycle of programmatic ad deals, monitoring delivery, troubleshooting technical issues, and optimizing performance. It involves collaborating with various internal and external teams to ensure deals run smoothly and meet campaign objectives. The role also emphasizes leveraging AI-assisted tools to enhance operational efficiency and analytical capabilities.

This role supports the operations, reliability, and day-to-day support of AI-enabled and Agentic platforms using AI-augmented operational workflows. The Junior Engineer partners with senior DevOps and platform teams to monitor system health, respond to incidents, execute operational tasks, and maintain documentation. AI tools are used to accelerate investigation, validation, and learning, while human judgment ensures secure, reliable, and ethical system operation.

This role focuses on leveraging data analytics, engineering, and automation to support risk mitigation and audit engagements within Comcast Global Audit. The Data Solutions Advisor will analyze complex business challenges, develop data products and reporting, design scalable data solutions, and identify automation opportunities to improve audit efficiency. The role involves extracting, transforming, modeling, and analyzing data using various tools and programming languages, and applying analytical models to identify trends and outliers. It also includes project management, stakeholder communication, and potentially overseeing other team members.

This role focuses on data analysis and developing models to understand business trends, optimize operations, and predict outcomes. It involves querying various data platforms, performing exploratory data analysis, hypothesis testing, and creating forecasting models. The goal is to provide actionable insights and support business strategy through data-driven decision-making. While it mentions using NLP for sentiment analysis and staying current with ML trends, the core function is data analysis and business intelligence rather than building core AI/ML systems.

This Principal Cloud Engineer role focuses on designing, operating, and improving cloud infrastructure for AI-enabled and Agentic systems. The role emphasizes platform reliability, automation, observability, and secure operations, with a focus on supporting the end-to-end lifecycle of intelligent agents, from development to production deployment and ongoing management. The engineer will use AI-augmented tools and apply foundational AI literacy to understand agent lifecycles and non-deterministic behaviors impacting operations.

This role focuses on building applications, automations, and copilots using Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio), integrating with Microsoft 365 services. The engineer will be responsible for hands-on development, solution configuration, and ensuring solutions adhere to platform governance standards.

This role is for a Principal Solutions Architect focused on mobile platforms and integration within Comcast Business. The primary responsibility is to architect, design, and implement solutions for the next phases of the CB Mobile journey, bridging business vision with technical reality. The role involves hands-on engineering and end-to-end architectural ownership of complex, distributed back-office systems, with a focus on scalability, resiliency, and security. While the role mentions AI/ML and AI-driven optimization, its core function is in enterprise architecture and system integration for mobile products, not direct AI/ML model development or deployment.

This role is for a Salesforce Development Engineer responsible for writing and maintaining clean, efficient code for various software components, supporting the design and innovation of new applications, implementing testing frameworks, documenting development processes, analyzing integration needs, collaborating with QA, and troubleshooting to improve performance and user satisfaction. It requires deep expertise in Salesforce technologies like Apex, Vlocity, LWC, and Experience Cloud, as well as competency in cloud-native architectures.

Software Development Engineer responsible for planning, designing, implementing, testing, and debugging software and web applications. This role involves collaboration with product and engineering teams, leading testing efforts, developing automation strategies, and ensuring quality across various environments. The role also includes mentoring QA engineers and staying current with emerging technologies, including AI-driven QA practices.

Responsible for planning and designing new software and web applications. Edits new and existing applications. Implements, testing and debugging defined software components. Documents all development activity. Works with moderate guidance in own area of knowledge.

Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Oversees the documentation of all development activity. Trains non-technical personnel. Assists with tracking performance metrics. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.

This role is for a DevOps Engineer with 2.5 to 4.5 years of experience, focusing on AWS services, CI/CD pipelines, and scripting (Python/Ruby/Groovy/Yamal). The core responsibilities include implementing and managing CI/CD systems, building and maintaining cloud-native applications on AWS, ensuring system reliability and performance, and automating operational processes. Experience with tools like Ansible, Docker, Jenkins, Kubernetes, Datadog, and Prometheus is required. The role emphasizes deep expertise in AWS services and DevOps tools to support platform engineering and infrastructure.

This role is for an experienced Windows & Linux Administrator with strong Application Support and Service Assurance Lead (SAL) experience, focusing on managing enterprise infrastructure, ensuring application availability, handling security vulnerability patching, proactive monitoring, and leading major incident and bridge calls for rapid issue resolution and service stability.

Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Oversees the documentation of all development activity. Trains non-technical personnel. Assists with tracking performance metrics. Provides guidance and support to other Engineers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.

Seeking a Java Backend Developer with experience in Spring Boot and Microservices to design, develop, and maintain scalable backend services. Responsibilities include building RESTful APIs, managing microservices architecture, writing clean code, working with databases, and collaborating with cross-functional teams.

Leads strategic R&D initiatives, pioneering solutions and guiding teams in next-generation wireline, optical, and wireless technologies for the HFC network. Focuses on early-stage technology evaluation, building proof-of-concepts, and influencing product direction and industry standards.

Software Engineering Director for the vCMTS platform, responsible for leading software development, defining strategy, and ensuring the delivery of high-performance, cloud-native broadband solutions. This role involves technical leadership, architecture, design, and resolution of complex system issues, with a focus on distributed systems, networking, and cloud-native development. The role also emphasizes team leadership, execution management, and financial/operational ownership.

This role is for a Senior Software Engineer on the automation engineering team, responsible for supporting and developing software for automation initiatives. The role involves leading UI development, architecting systems, troubleshooting, and collaborating with senior architects on the automation vision. Requires experience in React, cloud technologies (Azure preferred), databases, leading development teams, and DevOps processes.

Responsible for broadband installation and troubleshooting activities for voice, video and data services. Completes field assessments, meets/exceeds company standards/metrics and completes necessary certifications and education for current role and for consideration for advancement to the next level. Functions in an entry-level position, with an increasing degree of proficiency and decreasing degree of onsite-supervision to complete installation and troubleshooting activities. Continued employment is contingent upon achieving required training, certifications and safety requirements. Works on straight forward tasks using established procedures.

This role is for a Senior Technical Solutions Engineer on the Universal Ads platform at Comcast. The primary responsibility is to diagnose and resolve complex technical issues, acting as a liaison between Customer Success, Product, and Engineering. The role involves triaging issues, investigating bugs, analyzing logs, reproducing failures, and escalating issues to Engineering with detailed analysis. The engineer will also develop product expertise, work with Sales, and build internal documentation.

Production Manager for Comcast's Town Hall and Ralph J. Roberts Forum, responsible for event development, execution, and technical aspects of hybrid, in-person, and virtual events. Requires extensive experience in live event and broadcast workflows.