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 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.

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.

Comcast is seeking a Director to lead a new, enterprise-wide initiative focused on AI-powered assisted sales enablement. This role will build and operationalize a new platform from the ground up, defining the strategy, roadmap, and governance for AI-enabled agent sales support across 11 sales channels and over 30,000 agents. The goal is to drive measurable improvements in sales behaviors, agent effectiveness, and conversion performance.

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.

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.

This role is for an Integrated Campaign Manager at DataBee, a cybersecurity company focused on Continuous Controls Monitoring. The manager will lead end-to-end, multi-channel campaigns to drive awareness, engagement, and pipeline. Responsibilities include campaign strategy, execution, performance tracking, and leveraging AI and automation tools to enhance marketing effectiveness. The role requires experience in B2B marketing, integrated campaigns, demand generation, ABM, SEO/AEO, and using AI-powered marketing tools.

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 role is a marketing co-op focused on brand strategy for Xfinity. The co-op will work with AI platforms and tools to understand how the Xfinity brand is represented and optimized across various AI touchpoints, including auditing AI platforms like ChatGPT and Gemini, developing AI-optimized content, and analyzing competitor presence in AI-generated responses. The role involves supporting planning, voice, and visual teams, and socializing AI strategy learnings.

This co-op role supports Comcast's Data and AI Organization, specifically the Data and AI Governance and Automation team. The focus is on enterprise-wide data governance and management strategy, with an emphasis on metadata and taxonomy creation, maintenance, and outreach. The role involves supporting internal data management platforms, contributing to data analysis, participating in privacy data classification reviews, and assisting with database migration and access controls. The goal is to build the foundation for AI at Comcast by enabling trusted data and implementing human-in-the-loop practices.

Co-op role focused on developing automated solutions for finance and accounting partners using Python, SQL, and AI/ML tools. The role involves understanding business needs, translating them into solutions, and training business partners on automation and AI tools.

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 is a co-op position focused on the application of LLMs within a paid media strategy for a large consumer company. The role involves supporting LLM ad performance, auditing content for LLM citation, and recommending new content. It emphasizes gaining experience with LLMs and AI in a marketing context.

This co-op role focuses on developing automation scripts and programs for evaluating product and network performance within Comcast's Access Technology & Systems Engineering team. The role involves using AI tools, basic ML models for time-series analysis and anomaly detection, and data analytics to assess network performance. It also includes coordinating software development with Github and interfacing with electrical test equipment.

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 leads a team focused on optimizing programmatic revenue for publisher partners by driving supply optimization, product adoption, and activating advertiser demand. It involves cross-functional collaboration with Product, Engineering, and Sales, with a strong emphasis on CTV programmatic dynamics. A key aspect is championing and implementing AI-assisted workflows to enhance operational scalability, streamline processes like reporting and analysis, and develop AI-enhanced frameworks for greater speed and consistency.

Strategic Partnerships Manager for FreeWheel (Comcast) focusing on supply-side technology partners in the ad tech space. The role involves managing partner relationships, overseeing technical integrations, identifying growth opportunities, and negotiating deals. There is an opportunity to shape FreeWheel's engagements with AI vendors and contribute to the development of new AI-powered offerings.

This role focuses on driving programmatic supply strategy and optimizing publisher performance within the FreeWheel ad platform. It involves partnering with publishers, analyzing performance, guiding them on best practices, and collaborating with internal teams to roll out new products. The role also requires providing technical guidance on ad activation and troubleshooting marketplace issues. While the role uses AI-assisted tools and encourages their integration into workflows, its core function is not building AI models but rather optimizing ad tech operations.

Product Manager for FreeWheel's Streaming Hub Direct Sales Management team, focusing on building programmatic ad-decisioning and optimization capabilities. This role involves partnering with Data Science to implement ML/AI models within the SSP platform's Programmatic Module, owning a product area, and collaborating with other PMs and engineering teams to drive the programmatic strategy.

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.