Jobs and Careers

Sr. Software Engineer - AI Agentic

Philadelphia, United Statesfull_timeVerifiedPosted 22 Jun 2026

About the role

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 evolving our chat experience from human-assisted to fully agentic. As an AI Agentic Software Engineer, you will help rewrite an existing production application into an end-to-end agentic platform, with a strong passion for customer experience and a commitment to building intuitive, high-quality interactions.

This role is for engineers who treat AI as a core part of the system—embedded across the full SDLC to deliver production-grade outcomes—while continuously advocating for the end user. You’ll work in a Google-centric stack using tools like ADK and Gemini Enterprise to build complex, agent-driven experiences that are not only intelligent, but seamless, trustworthy, and delightful for customers.

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 AgentOps, 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:

7+ 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 AgentOps 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 qualifications.

Skills

Adaptability,