Lead Software Architect

We are looking for a Senior Software Architect to join our engineering organization and help shape the technical future of our platforms. This role is focused on owning end-to-end architecture for large-scale, cloud-native systems, while playing a hands-on leadership role in adopting and running agentic GenAI systems in production.You will act as a technical focal point across teams, driving architectural coherence, accelerating technical feasibility for products, and ensuring our systems are scalable, secure, and future-ready. This is a senior, impact-driven role for an architect who leads through deep technical expertise rather than people management.Role - Key Responsibilities:Own and evolve end-to-end architecture for large-scale, cloud-native platforms and distributed systemsAct as a technical focal point across multiple engineering teams, influencing technical direction and driving alignment without direct authority - building consensus through credibility and communicationPartner with Product to proactively shape the long-term roadmap, bringing technical perspective into strategic planningBreak down complex business and technical problems into clear system components, interfaces, and interactionsDefine and uphold architectural principles across scalability, resilience, security, and operabilityArchitect and guide AWS-first platforms, including microservices, event-driven, and asynchronous systemsEstablish strong API design, versioning, and data contract practices across the platformDesign, build, and run agentic GenAI systems in production, including orchestration, tool usage, planning, and state managementDefine production-grade practices for AI systems: observability, evaluation, reliability, safety, and cost controlDrive architectural reviews, technical decision-making, and trade-off discussionsPartner closely with Engineering, Product, and Data Science to accelerate technical feasibility and deliveryContribute to long-term technical strategy, platform evolution, and selective POCs where they create clear value.Requirements: All About You10+ years of professional software engineering experience, with time in architecture-focused rolesProven track record designing and operating large-scale distributed systems in productionStrong, hands-on AWS experience (required)Deep knowledge of cloud-native and backend systems: microservices, APIs, events streaming, data flowsHands-on experience building and running agentic AI / GenAI systems in production (required)Including LLM-based agents, tool usage, planning, and stateful workflowsStrong understanding of system design trade-offs, scalability, reliability, and operational concernsAbility to clearly explain complex technical concepts to both technical and non-technical audiencesStrongly Preferred:Experience with RAG-based, multi-agent, or autonomous/semi-autonomous agent systemsExperience integrating AI systems with existing platforms and APIsBackground working closely with Data Science and ML teamsExperience influencing architecture across multiple teams and productsFamiliarity with data platforms and pipelines (e.g., streaming, analytics, ML data flows).This position is open to all candidates.