Principal Engineer - Agentic AI

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 AI Agentic Team designs, builds, and runs intelligent agents end to end. We own agent logic, workflows, integrations, production deployment, and ongoing performance. By combining build and operations, we deliver agentic systems that are reliable, secure, and scalable in real-world use.

Job Description

About the Role

We are building the next generation of our chat experience, transitioning from a human-assisted workflow to a fully agentic, AI-driven system. As an AI Agentic Software Engineer, you will create re-usable AI agents that will be used across Xfinity applications. Your initial focus will be to enable agentic capabilities at our Xfinity Assistant (chat application) with a strong passion for customer experience and a commitment to building intuitive, high-quality interactions.

You will work in a Google-centric ecosystem, leveraging tools such as Agent Development Kit (ADK) and Gemini Enterprise to orchestrate complex, agent-driven customer experiences.

What You'll Do:

Agentic & AI-Augmented Engineering

* Design, build, and operate agentic systems that replace or augment human workflows

* Apply AI across the SDLC, including:

* Requirements and spec-driven development

* System and agentic workflow design

* AI-augmented coding and refactoring

* AI-driven testing and defect remediation

* Treat AI as a collaborating system, not a one-off tool

* Evaluate and iterate on AI outputs (e.g., LLM-as-a-Judge)

Platform & Production Delivery

* Build production-ready agent-based solutions with reliability, scalability, and observability

* Implement agent-to-agent, agent-to-UI, and human-AI orchestration

* Contribute to Agent Ops, MLOps, and AI governance

* Ensure ethical, compliant, and responsible AI use.

Collaboration & Influence

* Clearly communicate how AI is used in your engineering workflows

* Share patterns and best practices with the team

* Partner with product, UX, and platform teams to deliver cohesive experiences.

What You'll Need:

* 10+ years building agentic AI systems in production, or equivalent experience designing, shipping, and operating scalable, production-grade software (APIs, platforms, workflow engines, or customer-facing applications)

* Hands-on experience with Agent Development Kit (ADK) and Python

* Experience with Gemini Enterprise, or similar conversational AI platforms

* Spec-driven development with AI integrated into the development lifecycle

* Strong prompt engineering skills, including evaluation, iteration, and logging

* Experience leveraging AI-assisted coding across multiple features or defects in parallel

* Familiarity with Agent Ops and production monitoring for agent-based systems

* Experience with LLM-as-a-Judge or comparable evaluation techniques

* Proven ability to design agent-to-agent, agent-to-UI, and human-AI collaboration patterns

* Soft Skills:

Curiosity to explore emerging AI capabilities, critical thinking to assess AI outputs, and adaptability in fast-moving, ambiguous environments.

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…