Enterprise Solution Architect

Responsibilities

• Define and govern scalable, secure, and high-performance B2C product architectures on Google Cloud Platform (GCP), ensuring alignment with enterprise-wide standards.
• Architect and integrate autonomous, multi-agent AI systems that can execute complex workflows, retrieve external data, and drive intelligent, context-aware user interactions within B2C applications.
• Actively lead the end-to-end product build, translating conceptual product roadmaps into production-grade, resilient digital applications.
• Act as the primary technical bridge between business strategy and engineering execution; lead requirements-gathering workshops and translate strategic business goals into clean functional specifications, product roadmaps, and user stories.
• Design the complete system architecture, including mobile/web front-ends, event-driven microservices, secure data persistence layers, and third-party API integrations.
• Architect modern, cloud-native services utilizing a range of GCP offerings (e.g., GKE, Cloud Run, BigQuery, Apigee) while ensuring the flexibility to design for multi-cloud environments.
• Establish robust engineering standards for API design, schema definition, code quality, testing automation, and CI/CD pipelines to ensure continuous, high-quality product deployments.
• Provide technical governance and coaching to cross-functional product development teams on modern architecture, domain-driven design, and robust coding standards.

Qualifications

• 12+ years of experience in application architecture, software engineering, and cloud-native system design.
• Proven hands-on experience in the actual build, engineering, and launching of end-to-end, high-scale consumer-facing (B2C) products.
• Practical experience designing and deploying systems using Agentic AI patterns, large language models (LLMs), and orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen) to build autonomous, action-oriented product features.
• Deep, hands-on experience designing and deploying enterprise solutions natively on Google Cloud Platform (GCP).
• Exceptional business acumen with experience leading technical and product scoping discussions with non-technical business executives and product owners.
• Deep expertise in microservices, event-driven architecture, API-first principles, container orchestration (Kubernetes), and modern caching/database strategies (Relational and NoSQL).
• Familiarity or hands-on experience leveraging AI-native development tools (e.g., integrated coding assistants in VSCode, Cursor, etc.) to accelerate the product development lifecycle.
• Google Cloud certification (e.g., Professional Cloud Architect) is strongly preferred.
• Experience working with modern enterprise data platforms (e.g., Databricks, Snowflake) to support application analytics and AI pipelines.
• Deep understanding of secure software development lifecycle (SSDLC), modern identity management systems (e.g., Okta, OAuth 2.0), and cloud compliance.
• Real-world experience implementing high-performance caching layers (e.g., Redis, Memcached) to handle high-traffic B2C product requirements.