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.
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
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 engineering workflows
- Share patterns and best practices with the team
- Partner with product, UX, and platform teams to deliver cohesive experiences.
- 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
- 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, AI Adoption, AI Agents, AI Platforms, Curious Mindset, Customer Experience (CX), Leadership
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.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Certifications (if applicable)
Relevant Work Experience
7-10 Years
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
