Senior AI-Driven Data Architect & Agentic Systems Lead

Comcast; Washington (District of Columbia); On-site; USD 224,000 - 352,000; Full time

Job summary

Comcast seeks a visionary Senior Technologist, Data & Agentic AI Enablement to shape the future of our enterprise data ecosystem and accelerate AI-driven experiences. This role leads two missions: preparing data for Agentic AI and transforming data engineering with AI across the lifecycle, partnering with Data Engineering, Data Platforms, Enterprise Architecture, Security, Product, and AI teams.

The incumbent will define architecture, standards, and patterns to enable AI as an active participant

Qualifications

• + years of experience in Data Architecture, Data Engineering, Enterprise Architecture, or related technology disciplines.
• Proven experience designing and scaling enterprise data ecosystems.
• Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.
• Demonstrated success influencing outcomes across large, matrixed organizations.

Responsibilities

• Define the enterprise roadmap for incorporating AI agents into data engineering workflows, platform operations, and software delivery.
• Partner with platform engineering teams to integrate AI capabilities into CI/CD, Infrastructure-as-Code (IaC), and DevSecOps practices.
• Evaluate emerging agent frameworks, copilots, and autonomous engineering platforms for enterprise adoption.
• Establish best practices and governance for AI-assisted engineering and operational processes.
• Define principles and reference architectures that enable AI agents to discover, access, understand, and act upon enterprise data safely and effectively.
• Partner with business and technology leaders to identify high-value opportunities for Agentic AI solutions.
• Establish enterprise standards that align data, AI, and business strategies.
• Establish standards that ensure data is Discoverable.
• Establish standards that ensure data is Well-described and semantically rich.
• Establish standards that ensure data is Governed and trusted.
• Establish standards that ensure data is Accessible through standardized interfaces.
• Establish standards that data is Consumable by both people and AI agents.
• Drive adoption of metadata-driven architectures, semantic models, knowledge graphs, and business ontologies.
• Ensure enterprise data products support machine-to-machine interactions in addition to traditional analytics use cases.
• Define the frameworks that enable AI agents to effectively interact with enterprise data and knowledge assets.
• Establish standards for exposing enterprise data through APIs, semantic layers, data products, and retrieval systems.
• Partner with platform teams to develop capabilities supporting: Retrieval-Augmented Generation (RAG), Agent orchestration platforms, Tool and API discovery, Vector-based retrieval architectures, Context management and memory frameworks.
• Develop patterns that allow AI agents to access enterprise knowledge securely and responsibly.
• Establish controls for data lineage, provenance, quality, explainability, and auditability.
• Partner with Security, Privacy, and Risk teams to implement responsible AI controls and secure data access practices.
• Define trust frameworks that enable AI agents to operate within approved business guardrails.
• Lead development of enterprise semantic models and shared business definitions.
• Improve metadata quality, business context, and knowledge accessibility across the organization.
• Advance enterprise knowledge management practices that enhance AI reasoning, discovery, and decision support.
• Partner with Data Platform, Engineering, Analytics, and Product teams to align technology roadmaps.
• Collaborate with BI and analytics teams to maintain consistent business metrics and semantic definitions across human and AI consumers.
• Influence technology investments that enable future AI and Agentic AI capabilities.
• Monitor emerging trends in AI, Agentic Systems, Data Architecture, and Knowledge Management.
• Evaluate innovative technologies and identify strategic adoption opportunities.
• Advise executive leadership on enterprise AI strategy and future-state architecture.
• Strong executive communication and stakeholder management skills.
• Ability to translate emerging technologies into practical enterprise strategies.
• Proven ability to lead through influence across business and technology organizations.
• Demonstrated thought leadership in data, AI, or enterprise architecture domains.
• A strategic technology leader with deep expertise in enterprise data architecture and a passion for advancing AI adoption. This individual combines strong technical vision, architectural leadership, and business acumen to help the organization build a trusted, AI-ready data foundation while transforming the way engineering teams work through Agentic AI.

Skills

Data Engineering

AI Adoption

Agentic AI

Data Architecture Development

Data Strategies

Enterprise Data

Education

Bachelor's Degree

Tools

CI/CD

Job description

Comcast seeks a visionary Senior Technologist, Data & Agentic AI Enablement to shape the future of our enterprise data ecosystem and accelerate AI-driven experiences. This role leads two missions: preparing data for Agentic AI and transforming data engineering with AI across the lifecycle, partnering with Data Engineering, Data Platforms, Enterprise Architecture, Security, Product, and AI teams.

The incumbent will define architecture, standards, and patterns to enable AI as an active participant