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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Architect - Industrial Technology (Remote) - **Company:** SymphonyAI LLC - **Location:** Minneapolis, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $150,000.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Architectural Patterns, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Data Systems, Distributed Data Store, Distributed Systems, Python (Programming Language), Tensorflow, Reverse Engineering, Software Engineering, Systems Integration, TypeScript, Data Ingestion, Delivery Pipeline, Technical Debt, Event Driven Architecture, Information Technology, Data Management, Machine Learning Operations, Data Pipelines, Programming Languages, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9ea71b69fb303303 ## About the Role * A strong innovation mindset - you enjoy ambiguity, experimentation, and designing systems that don't yet have clear precedents. * Proven experience architecting large-scale, distributed, data-intensive platforms, ideally with AI-enabled components. * Deep understanding of microservice architecture, cloud-native design, APIs, messaging/eventing, and distributed data systems. * Strong full-stack technical depth, with the ability to reason about backend services, data platforms, and modern front-end architectures. * Practical exposure to AI/ML systems, such as model integration, inference pipelines, feature stores, or analytics workflows. * Exceptional ability to communicate architecture visually and clearly through diagrams, flows, and written documentation. * A collaborative leadership style-you elevate teams through partnership rather than command-and-control. * Experience in industrial, enterprise SaaS, or complex platform environments is highly valued., * Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. * 10+ years of software engineering experience, with 5+ years in senior or principal-level architecture roles. * Strong proficiency in modern programming languages (e.g., Python, Java, C#, TypeScript). * Extensive experience with cloud platforms (AWS, Azure, or GCP), containers, and CI/CD pipelines. * Familiarity with AI/ML frameworks, data platforms, and analytics systems. * Outstanding systems thinking, problem-solving, and communication skills. ## Description * Own and evolve the platform-level architecture across cloud, edge, data, and AI systems, with a focus on scalability, resilience, and long-term extensibility. * Design end-to-end system architectures, from industrial data ingestion and microservices to AI/ML workflows and user-facing applications. * Act as a technical thought partner to engineering, ML, and product leaders - shaping decisions early rather than reviewing them late. * Reverse engineer existing systems, legacy platforms, and third-party integrations to uncover constraints, risks, and opportunities for modernization. * Define and document clear architectural patterns, reference designs, and system flows that accelerate development and reduce ambiguity. * Drive adoption of modern, cloud-native and event-driven architectures, including microservices, APIs, orchestration, and data pipelines. * Stay current on emerging technologies across AI, distributed systems, and developer platforms - prototyping and validating where appropriate. * Lead by example through hands-on technical engagement, design reviews, and selective code contributions. * Identify systemic bottlenecks, architectural debt, and scaling risks - and proactively drive solutions., * You have developed a deep, working understanding of the existing platform, including its strengths, limitations, and technical debt. * You've identified and articulated a clear architectural evolution strategy, aligned with product and business priorities. * Engineering teams are using your architectural patterns, diagrams, and reference designs to move faster with greater consistency. * You've influenced or led the design of key platform capabilities (e.g., data pipelines, AI integration, core services, or scalability improvements). * Technical discussions are sharper and more forward-looking due to your involvement - fewer reactive fixes, more intentional design. * You are recognized as a go-to architectural authority and innovation partner across engineering, ML, and product teams. * The platform is measurably more scalable, maintainable, and innovation-ready than when you joined. ## Related Videos - [The Software Engineer 2030: From Coder To AI Orchestrator? 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