Manager Software Engineering, AI Agents

Comcast

Quick summary

Work type
On-site
Location
Washington, District Of Columbia
Salary
$183,063–$274,595 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $229k
$153k most similar roles pay here $288k

This role pays more than 73% of similar roles. Most pay $166,500–$235,000 — the shaded band above. At the midpoint, this role pays about $229k versus about $201k 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 42 open roles on FindRole.

Listed pay typically runs $129,515–$195,779 across 22 roles with salary data.

Most-posted roles

View all roles at Comcast

At a glance

TL;DR · Manager Software Engineering, AI Agents

As a Software Engineering Manager at this innovative company, you will lead a backend engineering team focused on developing production-grade AI Agent systems, combining hands-on technical work with people management. Your responsibilities include managing a team of engineers, ensuring their growth and development, and directly contributing to the design, build, and operation of critical backend services in Python using frameworks like FastAPI and asyncio. You will also guide architectural decisions, ensure responsible engineering practices for AI agents, and maintain high standards for code quality and operational readiness. This role requires extensive experience in backend engineering, a strong understanding of AI systems, and the ability to balance innovation with long-term stability and maintainability.

What you'll do

  • Directly manage a team of backend engineers, focusing on 1:1s, feedback, and career development.
  • Actively contribute to production code across core backend services and agent workflows (minimum 30%).
  • Guide architectural decisions by contributing designs and implementations for AI agents.
  • Own planning, prioritization, and execution for the team, ensuring consistent delivery of production-ready systems.
  • Lead testing strategies for non-deterministic AI components, balancing innovation with correctness and maintainability.
  • Share ownership of production health, including uptime, latency, incidents, and post-incident learning.

What we're looking for

  • Extensive experience managing backend engineering teams and delivering complex projects.
  • Deep expertise in designing, building, and operating Python-based backend systems.
  • Hands-on experience integrating LLMs into real-world systems with a focus on safety and reliability.
  • Proven ability to lead technical execution, own outcomes, and manage multiple stakeholders.
  • Strong background in operational responsibility for customer-facing production systems.
  • Experience in mentoring engineers and fostering a culture of continuous improvement.
  • Master's degree or equivalent education and 5-7 years of relevant work experience.

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