Senior Application Architect

Job Description This is a remote position. We are looking for a Senior Application Architect to join our team and lead the architecture and technical vision of modern cloud-native, AI-driven SaaS products. In this role, you will define application architecture standards, drive design decisions, and guide engineering teams in delivering scalable, resilient, and maintainable solutions. You will work closely with Product Management and Engineering teams, playing a key role in shaping the evolution of AI-powered products and agentic software systems. The role combines software architecture, cloud-native engineering, and AI expertise, with a strong focus on distributed systems, modern architectural patterns, and Generative AI technologies. Responsibilities: Design cloud-native application architectures based on: Microservices Event-driven architectures API-first principles Define technical standards for: APIs and integrations Data models Asynchronous communication Observability Design and govern event-driven systems using: Domain Events CQRS Saga patterns Event choreography and orchestration Define application-level multi-tenant architectures and tenant isolation strategies Lead the architecture of AI-powered and agentic solutions, including: LLM integration RAG pipelines Agent orchestration Vector databases Human-in-the-loop workflows Evaluate and adopt AI frameworks, tools, and engineering best practices Translate business and product requirements into scalable architectural solutions Lead architecture reviews, technical RFCs, and design decision processes Provide technical leadership and guidance throughout the software development lifecycle Facilitate workshops and architecture design sessions, including: Domain-Driven Design (DDD) Event Storming Architecture reviews Mentor and coach engineering teams on cloud-native and architectural best practices Requirements 5+ years of experience in Software Architecture roles 3+ years of experience designing cloud-native SaaS products Experience in enterprise applications such as: ERP Payroll HR platforms Other complex B2B systems Strong knowledge of architectural patterns: Domain-Driven Design (DDD) CQRS Event Sourcing Hexagonal Architecture Event-Driven Architecture Strong experience designing APIs using: REST GraphQL gRPC Experience integrating AI capabilities into production systems: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Vector databases Prompt engineering AI services such as Azure OpenAI, Azure AI Search, AWS Bedrock, or equivalent Deep understanding of agentic software architectures: Agent orchestration frameworks Tool use Human-in-the-loop patterns Evaluation pipelines Strong backend development knowledge in at least one of the following: C# Python Go Java/Kotlin TypeScript Experience designing multi-tenant applications and tenant-aware APIs Familiarity with AI-assisted development workflows and modern engineering practices Proven ability to lead technical discussions and influence architectural decisions Strong communication skills, with the ability to explain complex concepts to both technical and non-technical audiences Fluency in English Nice-to-have Experience with: Azure OpenAI Azure AI Search AWS Bedrock Other enterprise AI platforms Experience building AI-native or agentic products Hands-on experience with: Architecture Communities of Practice Technical mentoring Engineering enablement initiatives Proven experience facilitating: DDD workshops Event Storming sessions Architecture design workshops Strong understanding of AI governance, observability, and evaluation frameworks If this sounds like you, share your CV with us and let’s talk!