Sr. Architect, AI & Automation

Overview Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression.

As part of the DICK’S Sporting Goods family, you’re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s next.

Whether you’re building strategy, shaping innovations, or creating unforgettable customer moments, you’ll contribute to decisions and experiences that define our brands’ impact in the communities we serve.

Come change the game with us. Apply today!

This Role is 100% REMOTE, US Based At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization. Foot Locker is seeking an experienced and innovative Sr. Architect, AI & Automation to design and lead the enterprise architecture vision for Generative AI, Artificial Intelligence, Intelligent Automation, and AI-powered digital transformation initiatives. This role is responsible for designing scalable AI platforms, reusable frameworks, reference architectures, and enterprise standards that enable rapid adoption of AI capabilities across Merchandising, Supply Chain, Stores, Digital, Finance, and Customer domains. Partner closely with business and technology leaders to architect next-generation AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval Augmented Generation (RAG), intelligent automation, and modern cloud-native platforms. This individual will provide deep technical leadership, establish enterprise AI governance frameworks, and drive innovation by transforming business processes into AI-enabled products and experiences.

AI products delivered by this team are used every day by store, merchandising, supply chain, digital commerce, and corporate teams across Foot Locker’s brands and digital channels.

Scope of the role: sets enterprise patterns, guardrails, and build-versus-buy decisions across teams, and is accountable for reusability and governance rather than for any single product.

Responsibilities This role will include, but will not be limited to the following responsibilities:

• Define the enterprise AI, GenAI, Agentic AI, and Automation architecture and roadmap aligned with business and technology strategy
• Architect scalable solutions using LLMs, RAG, AI agents, workflow automation, APIs, and event-driven architectures
• Define the architecture and integration of agents, skills, workflow orchestration, MCP services, development tools, and reusable libraries
• Establish patterns for AI agents and multi-agent workflows, including orchestration, graph and state design, conditional routing, tool and API calling, memory, checkpointing, guardrails, human-in-the-loop processes, and observability
• Design enterprise RAG architectures integrating structured and unstructured data, vector databases, embeddings, semantic search, ontology and knowledge graph models, and enterprise knowledge repositories
• Integrate AI capabilities with enterprise data platforms such as Snowflake, Databricks, Azure, Power BI, and operational applications
• Define best practices for LLMOps, lifecycle management, prompt and version management, testing, evaluation, deployment, monitoring, observability, and cost optimization, including standard measures for groundedness, retrieval quality, task success, latency, and cost per task
• Partner with business and technology leaders to translate strategic goals into scalable AI and automation solutions
• Define standards for Responsible AI, security, privacy, RBAC, PII protection, data governance, model governance, and regulatory compliance
• Evaluate AI technologies, foundation models, frameworks, and vendors and provide architecture recommendations based on business requirements
• Design reusable AI services, APIs, connectors, accelerators, and reference architectures to enable adoption across multiple teams
• Provide technical…