Responsibilities
- Define and maintain end-to-end architecture across mobile, API, ML pipeline, backend, data, and cloud layers.
- Design scalable, multi-region Azure infrastructure and high-volume platform capabilities for global field usage.
- Architect computer vision inference, model deployment, versioning, A/B testing, and continuous learning pipelines.
- Establish iOS and Android architecture standards for image capture, geo-fencing, offline-first operation, caching, and synchronization.
- Define API schemas, data contracts, integration patterns, Salesforce workflows, authentication, session management, and device security controls.
- Own reliability, fault tolerance, disaster recovery, storage lifecycle, incident root cause analysis, and infrastructure escalation documentation.
- Design privacy-by-design data flows, data residency, minimization, retention, and security standards for GPS, biometric, and imagery data.
- Evaluate emerging AI capabilities including LLMs, VLMs, and agentic AI for the product roadmap.
- Produce architecture documentation, TRDs, ADRs, system diagrams, and integration maps; present proposals and trade-offs to leadership.
- Mentor engineering teams on product architecture standards and best practices.
Requirements
- 12–15+ years of experience in software or product architecture roles, including at least 3 years with mobile-first or AI/ML-integrated platforms.
- Proven experience architecting cloud-native platforms on Azure, including API Management, Functions, Blob Storage, and Cosmos DB.
- Hands-on experience with ML inference infrastructure such as KubeRay, Ray Serve, TorchServe, or equivalent platforms.
- Strong iOS and/or Android architecture experience, including offline-first design patterns.
- Experience with computer vision, image recognition, or retail execution platforms is strongly preferred.
- Experience with Azure as the primary cloud and AWS or GCP as secondary cloud platforms.
- Knowledge of iOS, Swift, Objective-C, Android, Kotlin, Java, React Native, and Flutter architecture considerations.
- Experience with model serving, MLOps, computer vision model deployment, REST APIs, event-driven architectures, Kafka, Service Bus, Cosmos DB, PostgreSQL, Databricks, Kubernetes, Docker, monitoring, and alerting.
- Familiarity with FMCG, CPG, or retail technology platforms is a significant advantage.
- Ability to communicate complex architecture clearly to executives and collaborate with product, data science, field operations, and compliance teams.
- Demonstrated ownership, risk management, end-to-end problem solving, and ability to operate in ambiguous multi-market environments.
- Strong technical writing skills, including preparation of TRDs, PRDs, and architecture decision records.
Tech Stack
Categories
About PepsiCo
PepsiCo is a playground for curious people. We invite thinkers, doers, and changemakers to champion innovation, take calculated risks, and challenge the status quo. From executives to team members on the front lines, we’re excited about the future. We take chances. Together, we dare to make the world a better place. Our associates are the magic ingredient. Each of them plays an integral role in helping create deep connections between people and our products. Think about your last group celebration: Chances are, one of our iconic brands was by your side. At PepsiCo, you’re invited to be a part of a global team of innovators who make, move, and sell these products—which are enjoyed by more than 1 billion people a day. A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet. Join us. Dare for Better.