Senior Manager - Agentic AI
ComcastAbout the role
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.The Senior Manager operates with a broad view of the enterprise, balancing innovation, engineering excellence, risk management, and customer experience. This role requires strong independent judgment, strategic thinking, and the ability to lead through influence across complex, matrixed organizations.
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:
People Leadership & Talent Development
- Mentor engineering managers, technical leads, and senior engineers in modern architecture and leadership behaviors.
- Reinforce engineering excellence, system thinking, and maintainability.
- Build inclusive, high‑performing teams that value collaboration, curiosity, accountability, and continuous learning.
- Model and reinforce company Operating Principles, ethical decision‑making, and customer‑first thinking.
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 en
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