Engineer 5, Software Development & Engineering

Comcast Corporation; Indiana; On-site; USD 180,000 - 230,000; Full time

Job summary

Comcast Corporation seeks a senior architectural leader to define and drive the AI-powered marketing platform strategy. You will oversee design and delivery across Agentic AI, AEP, CDPs, and orchestration, partnering with product, architecture, data engineering, and Martech to deliver scalable, secure solutions that boost customer engagement and campaign effectiveness.

You will mentor engineers, establish engineering standards, and push for observability, security, and responsible AI practices

Qualifications

• 12+ years of software engineering experience.
• 5+ years leading large-scale enterprise platforms and technical initiatives.
• Deep expertise in software architecture, cloud-native apps, distributed systems, and enterprise integrations.
• 2+ years hands-on AI/ML experience with Generative AI and agent-based solutions.
• Experience designing AI-powered copilots, intelligent assistants and agent-based workflows.
• Knowledge of LLMs (Azure OpenAI, OpenAI, Claude, Gemini, Llama, etc.).
• Experience with AI frameworks such as LangChain, LangGraph, AutoGen, or similar orchestration tools.
• Experience designing Retrieval-Augmented Generation (RAG) solutions.
• Understanding of prompt engineering, contextual grounding, tool calling, and agent orchestration.
• Experience with AI observability, governance, and responsible AI practices.
• Knowledge of AI security, privacy, guardrails, and human-in-the-loop controls.
• Experience with Adobe Experience Platform (AEP) or related Adobe technologies preferred.
• Strong DevOps, CI/CD, observability, and production support knowledge.
• Excellent communication and stakeholder management skills.
• Proven ability to influence architecture.

Responsibilities

• Define and drive technical architecture for Agentic AI and Martech platforms.
• Lead development of AI-powered copilots and agent-based workflows.
• Provide technical leadership for AEP, data platforms, and journey orchestration capabilities.
• Architect audience management, identity resolution, personalization, and real-time decisioning.
• Establish engineering standards, governance, observability, and best practices for AI solutions.
• Drive platform scalability, resiliency, security, and performance optimization.
• Lead CI/CD strategy, deployment automation, monitoring, and operations excellence.
• Conduct architecture reviews and complex troubleshooting.
• Mentor engineers and promote engineering excellence.
• Translate business requirements into scalable technical solutions.

Skills

Software architecture

Cloud-native

Distributed systems

AI/ML experience

LangChain

LangGraph

AutoGen

RAG solutions

CI/CD

DevOps

Leadership

Mentoring

Tools

LangChain

LangGraph

AutoGen

Job description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

Responsible for providing technical leadership, architectural direction, and engineering strategy for the Marketing Agentic AI Platform. Leads the design and delivery of AI-powered marketing technology solutions across Agentic AI, Adobe Experience Platform (AEP), customer data platforms, customer journey orchestration, and cloud-native platforms. Partners with Product, Architecture, Data Engineering, and Martech stakeholders to deliver scalable, secure, and innovative solutions that improve customer engagement, campaign effectiveness, and operational efficiency.

Core Responsibilities

• Define and drive technical architecture for Agentic AI and Martech platforms.
• Lead the development of AI-powered copilots, intelligent automation solutions, and agent-based workflows.
• Provide technical leadership for Adobe Experience Platform (AEP), customer data platforms, and customer journey orchestration capabilities.
• Architect audience management, identity resolution, personalization, and real-time decisioning solutions.
• Establish engineering standards, governance, observability, and best practices for AI and platform solutions.
• Drive platform scalability, resiliency, security, reliability, and performance optimization.
• Lead CI/CD strategy, deployment automation, monitoring, and operational excellence initiatives.
• Conduct architecture reviews, technical design reviews, and complex troubleshooting activities.
• Mentor engineers and technical leads while promoting engineering excellence and continuous improvement.
• Partner with cross-functional teams to translate business requirements into scalable technical solutions.

Skills and Experience

• 12+ years of software engineering experience.
• 5+ years of experience leading large-scale enterprise platforms and technical initiatives.
• Deep expertise in software architecture, cloud-native applications, distributed systems, and enterprise integrations.
• 2+ years of hands-on experience with AI/ML, Generative AI, Agentic AI, and intelligent automation solutions.
• Experience designing and implementing AI-powered copilots, intelligent assistants, and agent-based solutions.
• Knowledge of Large Language Models (LLMs) such as Azure OpenAI, OpenAI GPT, Claude, Gemini, Llama, or equivalent enterprise AI platforms.
• Experience with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, or similar orchestration frameworks.
• Experience designing Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources and vector search technologies.
• Understanding of prompt engineering, contextual grounding, tool/function calling, agent orchestration, and AI workflow design.
• Experience implementing AI observability, evaluation, monitoring, governance, and responsible AI practices.
• Knowledge of AI security, privacy, guardrails, human-in-the-loop controls, and model evaluation methodologies.
• Experience with Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), or related Adobe technologies preferred.
• Strong understanding of DevOps, CI/CD, observability, reliability engineering, and production support.
• Excellent communication, stakeholder management, and technical leadership skills.
• Proven ability to influence architecture…