Sr. Software Engineer - Agentic AI

ComcastPhiladelphia, PA
Hybrid

About The Position

Comcast is a Fortune 30 global media and technology company. The AI Agentic Team designs, builds, and runs intelligent agents end to end, owning agent logic, workflows, integrations, production deployment, and ongoing performance to deliver reliable, secure, and scalable agentic systems. This role is part of building the next generation of Comcast's chat experience, transitioning to a fully agentic, AI-driven system. As an AI Agentic Software Engineer, you will create re-usable AI agents for Xfinity applications, initially focusing on enabling agentic capabilities for the Xfinity Assistant (chat application) with a strong emphasis on customer experience. The work will be within a Google-centric ecosystem, utilizing tools like Agent Development Kit (ADK) and Gemini Enterprise to orchestrate complex, agent-driven customer experiences.

Requirements

  • 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
  • Curiosity to explore emerging AI capabilities
  • Critical thinking to assess AI outputs
  • Adaptability in fast-moving, ambiguous environments

Responsibilities

  • 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)
  • 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
  • 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

Benefits

  • We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the benefits summary on our careers site for more details.
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