Senior Manager - Agentic AI

Comcast • Philadelphia, PA

19h • Onsite

About The Position

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. 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.

Requirements

• 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 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, and adaptability in fast-moving, ambiguous environments.

Responsibilities

• 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.
• 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

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees