Sr. Engineer, Martech Agentic Platforms
Comcast
- Location
- PA - Philadelphia, 1800 Arch St
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 13, 2026
Skills
About this role
Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary The Marketing Technology (MarTech) organization is responsible for the platforms and capabilities that power personalized customer engagement across Comcast's digital and direct marketing ecosystem. Our teams build and operate customer data, audience management, decisioning, and activation platforms that enable data-driven communications at enterprise scale. We are seeking a software engineer to help accelerate our adoption of Agentic AI and intelligent automation across the MarTech landscape. This role will focus on designing and building AI-powered solutions that streamline business processes, automate complex workflows, improve operational efficiency, and enhance the way teams create, manage, and activate customer experiences. The ideal candidate is passionate about emerging AI technologies and enjoys applying them to solve real-world business problems. You will partner closely with engineering, product, architecture, data, and business stakeholders to identify high-value use cases and develop scalable agentic solutions leveraging large language models (LLMs), enterprise data platforms, and cloud-native technologies. This is an opportunity to help shape the future of AI-driven marketing capabilities by delivering solutions that improve productivity, reduce manual effort, and enable more intelligent, personalized customer engagement across Comcast's MarTech platforms.
Job Description
Key Responsibilities Design, develop, and deploy agentic AI solutions supporting marketing and operational use cases. Build integrations between LLMs, enterprise data platforms, and marketing technology systems. Develop scalable cloud-native services and APIs supporting AI-driven experiences. Collaborate across engineering and business teams to identify and deliver high-value automation opportunities. Contribute to AI engineering standards, best practices, and platform capabilities. Help drive innovation and modernization initiatives across Comcast's MarTech ecosystem. Technical Skills: Programming Languages: Preferably Python, but Java or Scala is fine too (5+ years) Agentic: Frameworks: Google ADK or Langchain (1+ years) LLM integration (1+ years) Prompt engineering (1+ years) RAG (1+ years) Cloud Experience: AWS or GCP (5+ years) Kubernetes or CloudFoundry (2+ years) Relational Databases (5+ years) Data Engineering (1+ years) Other Skills: Technical team leadership (3+ years) Marketing Technology (nice to have) Adobe Experience Platform / Adobe Journey Optimizer / Adobe Experience Manager (nice to have) DataHub (nice to have) Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Skills
Artificial Intelligence (AI), Data Engineering, Google Agent Developer Kit (ADK), Kubernetes, LangChain (FrameWork), LLM Orchestration, Python (Programming