Engineer 3, Data Engineering at Comcast in Philadelphia, PA

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

We are hiring a high-potential AI-forward Software Engineer to design and build intelligent workflow systems that transform how procurement and finance operations function.

This role is focused on building AI-powered applications — not maintaining data pipelines. You will architect and implement AI-driven workflow tooling, integrate Azure AI services into production systems, and build lightweight web applications that operationalize LLM-based reasoning inside enterprise processes.

You will work directly with the Director of AI Strategy & Engineering to move from concept → prototype → production at speed.

Job Description

Core Responsibilities

1. Design & Build AI-First Workflow Systems

• Design intelligent workflow applications that embed LLM reasoning into real operational processes.
• Implement agentic patterns (multi-step reasoning, validation loops, exception routing).
• Translate ambiguous business problems into structured AI-enabled workflows.
• Build systems that combine deterministic logic with AI-driven decision layers.
• Create tools that reduce manual effort across supplier management, document review, classification, and exception handling.
   

2. Azure AI & Cloud Integration

• Develop solutions using Azure AI Foundry and Azure OpenAI.
• Deploy and manage model endpoints within Azure.
• Integrate AI services into secure, enterprise-grade applications.
• Utilize Azure services such as:
  • Azure Functions
  • App Services
  • Azure Storage
  • Logic Apps (where appropriate)
• Implement authentication, role-based access, and secure API integrations.
• Ensure scalability, observability, and reliability in production environments.
• You should understand how AI services operate inside a broader cloud architecture.
   

3. Full-Stack Development

• Build intuitive internal web applications (React/TypeScript preferred).
• Develop backend APIs (Python, Node.js, or .NET) to orchestrate AI services and workflow logic.
• Integrate front-end applications with backend endpoints and enterprise systems.
• Design clean user interfaces for:
  • Human validation of AI outputs
  • Exception management
  • Workflow status tracking
• Own features end-to-end — from UI interaction to backend orchestration.
   

4. Experimentation & Rapid Prototyping

• Rapidly prototype AI solutions to test business impact.
• Move quickly from proof-of-concept to hardened production solution.
• Continuously evaluate new Azure AI capabilities and apply them pragmatically.
• Instrument workflows to measure ROI and user adoption.
• Operate with an iterative, builder mindset.
   

Required Qualifications

• 1–3 years of professional experience building automation systems or AI-enabled applications.
• Hands-on experience with Azure AI Foundry or Azure OpenAI.
• Working knowledge of Azure cloud architecture.
• Experience building full-stack applications (frontend + backend).
• Strong understanding of REST APIs and secure application design.
• Exposure to LLM-based workflows (prompt engineering, structured outputs, validation loops).
• Ability to work directly with business stakeholders and translate requirements into systems.
• Consistent exercise of independent judgment and discretion in matters of significance. 
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. 
• Other duties and responsibilities as assigned.

Preferred

• Experience implementing agentic or multi-step LLM workflows.
• Exposure to workflow orchestration patterns.
• Experience integrating AI into operational enterprise processes.
• Familiarity with Power Platform or Copilot integrations.

Skills

AI Integration, AI Programming, Software Engineering

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

5-7 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.