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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Solutions Architect - **Company:** Generative Ai - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $176,800.0 - $197,600.0 - **Contract:** Temporary to permanent - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, DevOps, Distributed Systems, Fault Tolerance, Protocol Buffers, Software Engineering, Data Streaming, Systems Integration, TypeScript, Spring-boot, AI Platforms, Kubernetes, Low Latency, Cassandra, Enterprise Integration, Apache Kafka, Graphql, Restful APIs, Domain Driven Design, Databricks - **Published:** July 2, 2026 - **Apply:** https://mondo.gosnaphop.com/jobs/l/login/c8336608-98ca-11ec-8029-42010a8a0008/cc755948-75e1-11f1-98d5-024201c20d84/false?applyId=333827f1-7195-11f1-8ba3-024201c20d84&apply=true&returnUrl=%2Fjobs%2Fl%2Frecruiting%2Fjobapplication%2F333827f1-7195-11f1-8ba3-024201c20d84%2Fcc755948-75e1-11f1-98d5-024201c20d84%2Ffalse%3Fstep%3D1 ## About the Role * 10 years of Enterprise or Solutions Architecture experience. * Experience architecting large-scale distributed systems. * Strong background designing event-driven and real-time streaming applications. * Deep understanding of enterprise architecture, dependency mapping, and system integration. * Experience designing highly available, low-latency, fault-tolerant architectures. * Strong knowledge of: + Java + Kafka + Kubernetes + Spring Boot + AWS + Cassandra + TypeScript + GraphQL + REST APIs + Databricks + Protocol Buffers (Protobuf) * Experience leading architecture strategy rather than hands-on software development. * Exceptional executive communication and stakeholder management skills. * Experience facilitating architecture decision-making across multiple engineering teams. * Strong understanding of Domain-Driven Design (DDD). * Experience documenting architecture decisions, tradeoff analysis, and technical roadmaps. * Experience working with AI-assisted development tools and modern engineering practices., * Experience with MCP (Model Context Protocol). * Experience leveraging Claude or similar AI platforms. * Experience designing enterprise context graphs. * Dynamic pricing, pricing optimization, or revenue optimization experience. * Experience within ticketing, eCommerce, fintech, or other high-volume transactional platforms. * Consulting or technology advisory background. * Experience mentoring senior engineers and architects. * Familiarity with SPADE or Architecture Decision Records (ADRs). ## Description The Senior Principal Solutions Architect will provide enterprise architecture leadership for a large-scale digital transformation initiative focused on modernizing distributed systems, enabling AI-powered decision making, and designing scalable event-driven architectures. This is a highly strategic, client-facing consulting role responsible for defining technical direction, facilitating architecture decisions, and partnering with executive stakeholders to solve complex business and technology challenges. Day-to-Day Responsibilities * Lead enterprise architecture strategy across complex distributed systems. * Design scalable event-driven and real-time streaming architectures. * Map enterprise application dependencies and system capabilities. * Create architecture diagrams, technical roadmaps, decision records, and planning artifacts. * Facilitate architecture workshops and technical design sessions with engineering teams and executive stakeholders. * Drive modernization initiatives for legacy applications and services. * Evaluate technical tradeoffs, scalability, concurrency, resiliency, and fault-tolerant system design. * Partner with engineering, product, and business teams to align architecture with business objectives. * Contribute to AI-enabled enterprise architecture initiatives, including enterprise context graphs and MCP server strategy. * Guide technical direction while mentoring engineering teams and influencing architecture best practices. * Collaborate across multiple business units to improve data flow, pricing systems, and enterprise integration strategies. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Maximising Cassandra's Potential: Tips on Schema, Queries, Parallel Access, and Reactive Programming](https://www.wearedevelopers.com/videos/1167-maximising-cassandra-s-potential-tips-on-schema-queries-parallel-access-and-reactive-programming) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Building Real-Time AI/ML Agents with Distributed Data using Apache Cassandra and Astra DB](https://www.wearedevelopers.com/videos/782-building-real-time-ai-ml-agents-with-distributed-data-using-apache-cassandra-and-astra-db) - [Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?](https://www.wearedevelopers.com/videos/1017-next-level-enterprise-architecture-modular-flexible-scalable-multichannel-and-ai-ready) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)