Sr. Python Engineer, Agentic AI

Comcast

Quick summary

Work type
On-site
Location
Washington, District Of Columbia
Salary
$168,328–$252,493 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $210k
$140k most similar roles pay here $265k

This role pays more than 54% of similar roles. Most pay $161,500–$236,900 — the shaded band above. At the midpoint, this role pays about $210k versus about $199k 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 40 open roles on FindRole.

Listed pay typically runs $132,599–$199,761 across 20 roles with salary data.

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At a glance

TL;DR · Sr. Python Engineer, Agentic AI

We are seeking a Senior Python Engineer to join our Agentic AI team as a backend engineering lead, responsible for architecting and operating scalable, reliable systems that leverage modern AI techniques. This role involves designing complex agent-driven workflows, setting standards for clean code, and mentoring junior engineers while ensuring the technical integrity of customer-facing AI solutions. Candidates should have extensive experience with Python, including asynchronous frameworks like FastAPI and distributed service architectures, along with a track record of managing production systems at scale. Hands-on expertise in integrating LLMs into real-world applications is crucial, as is a strong understanding of system design principles and the ability to lead technical discussions and incident investigations. This role demands a balance between leveraging advanced AI capabilities and prioritizing stability and maintainability.

What you'll do

  • Design and own scalable backend architectures for AI agent-driven workflows.
  • Productionize agent behaviors including tool invocation, state management, and memory strategies.
  • Set standards for clean, maintainable code in Python to ensure long-term operability.
  • Develop testing strategies for non-deterministic AI components to reduce production risks.
  • Mentor junior engineers through code reviews and architectural discussions.
  • Own CI/CD processes, deployment, and runtime health of customer-facing systems.
  • Lead investigations into complex issues spanning multiple services and data pipelines.

What we're looking for

  • Extensive experience designing and operating backend systems in Python.
  • Track record of owning customer-facing production systems at scale.
  • Hands-on experience integrating LLMs into real systems with operational risks understanding.
  • Experience building AI agents that interact with tools, APIs, and external systems.
  • Strong system design skills for microservices, data stores, queues, and high-throughput APIs.
  • Desire to mentor junior engineers and set engineering standards.
  • Bachelor's Degree and 7-10 years of relevant work experience.

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