AI Enterprise Architect

Qurate Retail Group

Enterprise AI Architect leading design and delivery of AI architecture at QVC Group. Collaborating across teams to convert business strategies into production-ready AI solutions.

Posted 6/10/2026full-timeRemote • New Jersey, Pennsylvania • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed Systems

About the role

Key responsibilities & impact

Lead QVC Group's enterprise AI architecture vision and roadmap, aligning on business strategy, technology priorities, and enterprise architecture standards.
Design scalable, secure, and responsible AI ecosystems across data, models, platforms, governance, and business application integration.
Translate business needs into production-ready AI solutions, partnering with product, engineering, data science, security, and business leaders from concept through deployment and adoption.
Define and embed AI engineering standards, including MLOps and LLMOps practices for testing, deployment, monitoring, lifecycle management, and continuous improvement.
Establish AI governance and architecture guardrails that address security, privacy, compliance, model risk, bias mitigation, auditability, and cost efficiency.
Provide enterprise architecture leadership and solution assurance, developing reusable reference architectures, guiding implementation teams, and aligning technology portfolios to the future-state vision.
Mentor teams and champion innovation, building AI capability across the organization while evaluating emerging technologies that can drive measurable business value.

Requirements

What you’ll need

10+ years of experience across enterprise architecture, solution architecture, software engineering, data platforms, distributed systems, and AI/ML delivery.
Expertise in enterprise AI architecture and governance, including AI/ML solution design, ethical AI, compliance, and alignment to business strategy.
Hands-on experience delivering AI solutions into production, including deployment, integration, monitoring, and optimization.
Knowledge of cloud-native AI and data platforms such as Azure, AWS, or Google Cloud, along with CI/CD, infrastructure as code, containerization, and platform automation.
Experience with modern AI practices and technologies, including MLOps, LLMOps, generative AI, large language models, retrieval-augmented generation, AI assistants, and agent-based workflows.
Familiarity with retail and digital commerce ecosystems, including platforms such as Order Management, Pricing, Forecasting, CRM, and Supply Chain systems.
Bachelor's degree required, with an advanced degree or certifications in Computer Science, Engineering, AI/ML, Enterprise Architecture, or Data Architecture preferred.

Benefits

Comp & perks

competitive compensation
paid time off
employee assistance program
parental leave
paid volunteer hours
amazing company discounts
health care benefits starting on day 1
401(k)
tuition reimbursement benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

enterprise architecturesolution architecturesoftware engineeringdata platformsdistributed systemsAI/ML deliveryAI/ML solution designMLOpsLLMOpscloud-native AI

Soft Skills

leadershipmentoringinnovationcollaborationcommunication

Certifications

Bachelor's degreeadvanced degree in Computer Scienceadvanced degree in Engineeringadvanced degree in AI/MLadvanced degree in Enterprise Architectureadvanced degree in Data Architecture