Job Title

Role Summary: We are looking for a Principal Engineer / Architect to define and lead the architecture of large-scale digital platforms powering next-generation retail intelligence and workforce experiences.This role will architect and scale two mission-critical platforms: Associate Mobile Platform used by ~300K employees with embedded AI assistant and conversational capabilities Retail AI / Store Intelligence Platform deployed across ~2,300 retail stores, delivering real-time operational insights and automationAs a senior technical authority, you will drive platform architecture, system design, and AI integration strategies across engineering teams, enabling highly scalable, resilient, and intelligent systems. You will partner with engineering, product, and data science leaders to build AI-native enterprise platforms that transform retail operations and employee productivity. What You Will Do: Lead Platform Architecture Define the end-to-end architecture for large-scale mobile and AI-powered platforms. Design systems supporting hundreds of thousands of users and real-time operational workloads. Architect cloud-native, distributed, and event-driven systems optimized for scale and resilience Drive AI Integration Lead the integration of LLMs, AI copilots, and autonomous agent frameworks into enterprise applications. Architect conversational systems powering AI assistants and intelligent workflows. Collaborate with data science teams to operationalize AI-driven insights, automation, and decision systems. Build Scalable Digital Platforms Architect high-performance mobile-first platforms with robust backend ecosystems. Define scalable APIs and services enabling real-time intelligence across stores and workforce platforms. Ensure architecture supports high availability, low latency, and enterprise-grade reliability. Influence Engineering Direction: Serve as the highest-level technical advisor across multiple engineering teams. Lead architecture reviews and establish engineering standards and best practices. Mentor senior engineers and architects to drive technical excellence across the organization. Drive Technology Strategy Define long-term technology roadmaps and architecture strategies. Evaluate emerging technologies in AI, distributed systems, and platform engineering Lead innovation initiatives and proof-of-concepts that accelerate AI-first platform development. Required Qualifications: 12+ years of software engineering experience, including significant experience in architecture and distributed systems design. 5+ years of experience architecting AI/ML or GenAI platforms at enterprise scale. Proven experience architecting large-scale enterprise or consumer platforms. Experience building mobile-first digital platforms with complex backend ecosystems. Experience integrating AI/ML capabilities into production-grade systems. Technical Expertise: Architecture & Backend Distributed systems design Microservices architecture API-driven platform design Event-driven architectures Languages & Frameworks Java or equivalent backend technologies Modern frontend frameworks (React / Angular) AI & Intelligent Systems Experience integrating LLMs, AI copilots, or conversational systems Familiarity with frameworks such as LangChain, CrewAI, AutoGen, or OpenAI APIs. Data & Messaging Kafka or event-streaming platforms SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Cloud Platforms AWS, GCP, or Azure Cloud-native architecture patterns Leadership Expectations Influence architecture decisions across multiple product and engineering teams Act as a technical thought leader for large-scale platform development Drive engineering excellence, scalability, and innovation Partner with product, AI, and data leaders to deliver AI-powered enterprise capabilities