AI Enterprise Architect
WFA Digital Insight
The demand for skilled AI professionals has skyrocketed, with a 25% increase in job openings over the past year. As a leader in the retail industry, Qurate Retail Group is at the forefront of innovation, and this AI Enterprise Architect role is a chance to shape the company's AI strategy. With the rise of digital commerce, expertise in AI, cloud-native platforms, and data architecture is in high demand. Candidates should be prepared to showcase their technical skills and business acumen, as well as their ability to lead and mentor teams. Before applying, consider the company's commitment to diversity and inclusion, as well as its reputation for innovation and customer satisfaction.
Job Description
About the Role
The AI Enterprise Architect will play a key role in driving Qurate Retail Group's AI strategy, leading the design and delivery of scalable, secure, and responsible AI capabilities. This role will require a deep understanding of AI architecture, governance, and best practices, as well as the ability to collaborate with cross-functional teams. The ideal candidate will have a strong technical background, with experience in AI, data platforms, and cloud-native technologies.As a key member of the technology team, the AI Enterprise Architect will work closely with product, engineering, data science, and business leaders to align AI solutions with business strategy. This will involve designing and delivering AI solutions that meet the company's business needs, while also ensuring that these solutions are secure, compliant, and scalable.
The AI Enterprise Architect will be responsible for leading the development of AI engineering standards, including MLOps and LLMOps practices, and will work closely with the engineering team to ensure that these standards are embedded throughout the organization. This will require a strong understanding of AI governance and architecture, as well as the ability to communicate technical concepts to non-technical stakeholders.
What You Will Do
- Lead the development of Qurate Retail Group's enterprise AI architecture vision and roadmap
- Align AI solutions with 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
- Define and embed AI engineering standards, including MLOps and LLMOps practices
- 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 and guiding implementation teams
- Mentor teams and champion innovation, building AI capability across the organization
- Evaluate emerging technologies and trends in AI, and identify opportunities for innovation and growth
What We Are Looking For
- 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
- 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
Nice to Have
- Experience with containerization, platform automation, and infrastructure as code
- Knowledge of CI/CD pipelines and DevOps practices
- Familiarity with data architecture and data governance principles
- Experience with agile development methodologies and version control systems
Benefits and Perks
- Competitive compensation package
- Paid time off and employee assistance program
- Parental leave and paid volunteer hours
- Amazing company discounts
- Health care benefits starting on day 1
- 401(k) and tuition reimbursement benefits
- Remote work opportunities and flexible work arrangements
- Opportunity to work with a leading retail company and contribute to its digital transformation
How to Stand Out
- Develop a strong understanding of AI architecture and governance principles, and be prepared to showcase your technical skills and business acumen.
- Emphasize your experience with cloud-native AI and data platforms, and highlight your ability to lead and mentor teams.
- Showcase your knowledge of modern AI practices and technologies, including MLOps, LLMOps, and generative AI.
- Be prepared to discuss your experience with agile development methodologies and version control systems.
- Highlight your ability to communicate technical concepts to non-technical stakeholders, and emphasize your experience with data architecture and data governance principles.
- Prepare to discuss your approach to AI governance and architecture guardrails, and be prepared to provide examples of your experience with AI solution design and deployment.
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