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Jumio is seeking a Principal Enterprise Architect to serve as an AI Adoption Catalyst and Systems Architect, redefining the technical landscape for a B2B identity verification and fraud prevention platform. You will take end-to-end ownership of architecture, positioning machine learning and GenAI at the core of the company's DNA while leveraging deep AWS expertise to empower developers and ensure the multi-tenant SaaS platform remains a global benchmark for performance and scale.
Key responsibilities include:
**End-to-End System Architecture & Optimization**: Own the technical vision for scalable, high-performance, cost-efficient systems. Define modern architecture patterns enabling growth and high transaction throughput. Architect and optimize multi-tenant SaaS platforms with configurability and performance. Design self-service capabilities (workflow designer, rules engine, reporting) to reduce engineering overhead. Lead cloud cost efficiency initiatives and collaborate with AWS to optimize infrastructure.
**Data & AI Infrastructure**: Architect high-scale, distributed data processing pipelines for batch and real-time workloads. Optimize data storage, retrieval, and processing layers. Enable data self-service for analytics, ML, and real-time business use cases. Ensure data governance, security, and compliance.
**Technical Leadership & Hands-on Architecture**: Guide engineering teams on architectural best practices. Coach teams on scalable microservices, event-driven architectures, and cloud-native patterns. Practice "Architecting by Example" through technical prototyping and proof-of-concepts.
**GenAI Acceleration & Architectural Advocacy**: Serve as the AI Adoption Catalyst, partnering with developers and business units to integrate LLMs and agentic workflows. Clear roadblocks and deploy architectural guardrails enabling rapid experimentation with AI tools. Build a self-serve AI culture while maintaining cost-performance optimization.
**Architectural Governance & ARC Leadership**: Lead the Jumio Architecture Review Council to drive cross-functional alignment. Establish and enforce architectural standards. Facilitate cross-team reviews to identify technical debt and ensure strategic coherence. Serve as primary decision-maker for complex architectural trade-offs. Mentor engineering leadership.
You will work on a platform processing millions of transactions, solving real-world security and identity challenges. The role offers hands-on architecture leadership with a modern technical foundation and room to innovate, working alongside top engineers and AI/ML experts.
**Requirements**:
- 12+ years of hands-on experience in system architecture, data engineering, cloud engineering, or technical leadership roles
- Experience with multi-tenant architectures and designing frameworks for configurable SaaS platforms
- Deep, hands-on expertise in AWS (EKS, IAM, Lambda, networking); professional GCP experience is a strong plus
- Strong experience with distributed systems, microservices, event-driven architectures, and caching strategies
- Hands-on knowledge of AI/ML model execution—understanding model inference performance, cost trade-offs, and optimization strategies
- Proficiency in high-scale transactional systems
- Experience with infrastructure automation (Terraform, CI/CD, Kubernetes, Docker)
- Strong coding skills: Expert in Java, Strong in Python, Knowledgeable in JavaScript/TypeScript & Kotlin
- Strong experience leading architectural review processes and fostering engineering standards
- Proven expertise in integrating GenAI and ML methodologies into the software development lifecycle
- Proven ability in strategic stakeholder management and complex financial/TCO analysis for enterprise technology
**Nice-to-Have**:
- Experience with high-volume, real-time data processing and distributed streaming architectures
- Experience building petabyte-scale distributed data platforms
- Familiarity with fraud prevention, identity verification, or authentication technologies
