Engineer, Machine Learning, Data & AI

Comcast

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Philadelphia, PAReston, VAWest Chester, PAWashington, DC
Salary
$224,190–$351,571 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $288k
$139k most similar roles pay here $374k

This role pays more than 92% of similar roles. Most pay $164,250–$254,750 — the shaded band above. At the midpoint, this role pays about $288k versus about $210k for comparable roles.

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.

Most-posted roles

View all roles at Comcast

At a glance

TL;DR · Engineer, Machine Learning, Data & AI

Engineer 6, Machine Learning, Data & AI serves as a senior technologist focused on advancing the enterprise data ecosystem and accelerating Agentic AI integration. The role involves preparing enterprise data to be trusted, discoverable, and semantically rich for AI agents while transforming data engineering workflows through automated capabilities. You will define architecture, standards, and engineering patterns to integrate AI into CI/CD, Infrastructure-as-Code, and DevSecOps practices. Key responsibilities include developing retrieval-augmented generation (RAG) systems, vector-based architectures, and knowledge graphs to support machine-to-machine interactions. Required expertise includes data warehouse and lakehouse architectures, metadata management, semantic modeling, and LLMs. You will collaborate with cross-functional teams to ensure data products are governed and accessible via APIs while establishing trust frameworks for autonomous decision-making in a complex enterprise environment focused on data modernization and AI-enabled business transformation.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Define the enterprise roadmap for integrating Agentic AI into data engineering workflows and platform operations.
  • Develop reference architectures to ensure data is semantically rich, governed, and consumable by both humans and AI agents.
  • Establish standards for RAG, vector-based retrieval, and agent orchestration platforms to enable machine-to-machine interactions.
  • Implement governance frameworks for data lineage, quality, and security to support autonomous AI decision-making.
  • Lead the development of enterprise semantic models and shared business definitions to improve AI reasoning.
  • Partner with engineering teams to integrate AI capabilities into CI/CD, Infrastructure-as-Code, and DevSecOps practices.
  • Advise executive leadership on AI strategy and identify innovative technologies for enterprise adoption.

What we're looking for

  • Bachelor's degree (preferred).
  • 15+ years of experience in Data Architecture, Data Engineering, Enterprise Architecture, or related technology disciplines.
  • Proven experience designing and scaling enterprise data ecosystems.
  • Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.
  • Demonstrated success influencing outcomes across large, matrixed organizations.
  • Expertise in metadata management, semantic modeling, data governance, and data product design.
  • Proficiency with LLMs, RAG architectures, vector databases, agent frameworks, and AI orchestration platforms.
  • Strong executive communication skills and the ability to translate emerging technologies into practical enterprise strategies.

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