Principal Architect

Apply through us for direct hiring manager access.

Job Description:

We're hiring a Principal AI Architect to drive enterprise-scale AI transformation.

We need someone who brings:

• Strategic Vision
  - Shape our AI roadmap and architect solutions that deliver measurable business impact.
• Deep Technical Expertise
  - Design and implement advanced AI systems, from agentic workflows to production-grade ML platforms.
• Hands-On Leadership
  - Build and mentor high-performing teams while staying technically engaged with complex implementations.
• Business Impact
  - Translate cutting-edge AI capabilities into tangible outcomes that transform how we operate.

This is an environment unlike anything in the high-tech world and the secret of our client's success is its culture. The value the company puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others.

This is a dynamic, fast-paced environment, working through exciting transformation efforts. We are building the next generation retail environment where you will be surrounded by dedicated and highly professional employees.

Enterprise Architecture team propels our business by blueprinting an innovative, scalable, and secure architecture that serves our Warehouse members globally with years to come. Enterprise Architects work with leadership, stakeholders, and subject matter experts to build a holistic view of the organization's value streams, goals, strategies, capabilities, processes, information, and information technology assets. The role of the enterprise architect is to ensure that the business and IT are in alignment.

The enterprise architect links the business mission, strategy, capabilities and processes of an organization to its IT strategy, documents this using multiple architectural models or views that show how the current and future needs of an organization will be met in an efficient, sustainable, agile, and adaptable manner, and fosters the changes needed to achieve. Exceptional executive presence is crucial to succeed in this role.

You will facilitate complex discussions, influence peers and stakeholders, and serve as a thought leader to inspire change. As a key figure in evolving the Enterprise Architecture practice, you will uphold consistent quality across methodology and deliverables while addressing today’s digital challenges with technical expertise, leadership, and strategic foresight. Your responsibilities include guiding installations, testing, and service transitions while identifying and leveraging technological innovations.

You will engage with businesses to drive the adoption of cutting-edge solutions and oversee incident, change, release, problem, performance, and availability management, ensuring operational excellence.

As a core member of the Enterprise Architecture team, this individual will:

• Shape the organization's AI/ML strategy and roadmap
• Define AI reference architecture, standards, and best practices.
• Lead integration of AI/ML into business system transformation initiatives.
• Ensure that AI-driven solutions are consistent with organizational goals and technical standards.
• Champion ethical AI governance and regulatory compliance.
• Support continuous technology improvement and adaptable architecture.

• Defines future state AI/ML architecture and technology roadmap.
• Links business strategies and processes to AI/ML technology strategies, ensuring AI initiatives support enterprise objectives and deliver measurable business value.
• Establishes and maintains models of AI-driven organizational value streams, goals, strategies, capabilities, processes, information, and IT assets. Ensure these models capture both traditional and AI/ML-specific business functions.
• Defines and enforces target state and reference architectures, principles, guardrails, and standards for AI/ML, ensuring alignment with industry best practices, ethical frameworks (e.g., responsible AI), and regulatory guidelines (GDPR, NIST AI RMF).
• Develops and manages AI governance frameworks including model lifecycle management (MLOps), model monitoring, data governance, bias mitigation, explainability (XAI), and compliance.
• Leads initiatives around AI governance, MLOps pipeline optimization (monitoring/drift detection), and continuous improvement of intelligent solutions.
• Develops and promotes reusable AI/ML architectural patterns (e.g., generative AI workflows, RAG architectures) that foster innovation while adhering to best practices.
• Collaborates with stakeholders to operationalize AI use cases (e.g., demand forecasting, NLP for customer service), embedding AI into end-to-end business process models.
• Leads reviews of AI-driven solution designs for scalability, interoperability, and compliance.
• Investigates emerging technologies (generative AI, computer vision), assess enterprise impact through research/proof-of-concepts, and build…