Senior Engineer, MarTech Agentic Platforms

Comcast

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Philadelphia, PA
Posted
29 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $207k
$157k most similar roles pay here $268k

This listing doesn't post a salary. Most similar roles pay $167,650–$246,741.

Based on 240 similar postings.

Employer

About Comcast

Comcast is an American telecommunications and media conglomerate, providing cable TV, internet, and phone services under the Xfinity brand, and owning NBCUniversal.

Comcast currently has 84 open roles on FindRole.

Listed pay typically runs $137,369–$206,053 across 58 roles with salary data.

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At a glance

TL;DR · Senior Engineer, MarTech Agentic Platforms

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As a Sr. Engineer, MarTech Agentic Platforms, you will join the Marketing Technology organization to accelerate the adoption of Agentic AI and intelligent automation across the marketing landscape. You will design, develop, and deploy agentic AI solutions that streamline business processes, automate complex workflows, and improve operational efficiency for customer engagement platforms. Your daily work involves building integrations between large language models, enterprise data platforms, and cloud-native services while collaborating with cross-functional teams to identify high-value automation opportunities. The role requires proficiency in Python, Java, or Scala, along with experience in LangChain, Google ADK, prompt engineering, RAG, and relational databases. You will utilize AWS or GCP environments and Kubernetes to build scalable APIs. This position focuses on solving the challenge of manual effort by creating intelligent, automated systems within a complex marketing technology ecosystem.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

Skills

Python Java Scala LangChain Google ADK LLM RAG Prompt Engineering AWS GCP Kubernetes CloudFoundry Data Engineering Adobe Experience Platform Adobe Journey Optimizer Adobe Experience Manager DataHub

What you'll do

  • Design, develop, and deploy agentic AI solutions for marketing and operational use cases.
  • Build integrations between large language models (LLMs), enterprise data platforms, and marketing systems.
  • Develop scalable cloud-native services and APIs to support AI-driven customer experiences.
  • Identify and deliver high-value automation opportunities by partnering with engineering and business stakeholders.
  • Establish AI engineering standards, best practices, and platform capabilities.
  • Drive innovation and modernization initiatives across the MarTech ecosystem.

What we're looking for

  • Bachelor's Degree (preferred).
  • 7-10 years of relevant work experience.
  • 5+ years of experience in Python, Java, or Scala.
  • 5+ years of experience with AWS or GCP cloud platforms.
  • 5+ years of experience with relational databases.
  • 3+ years of technical team leadership.
  • Experience with Kubernetes or CloudFoundry (2+ years), Data Engineering (1+ year), and Agentic frameworks like LangChain or Google ADK (1+ year).
  • Knowledge of LLM integration, prompt engineering, RAG, Marketing Technology, and Adobe Experience Platform (preferred).

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