Solutions Architect

CLA is a top 10 US professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.As we grow internationally, we're hiring an experienced Solutions Architect to join our Information Technology team. This is a hands-on, senior architecture role for someone who thinks in systems, designs for scale and reliability, and is excited to build the next generation of AI-enabled, agentic services. The position offers growth, flexibility, and a collaborative work environment. What you'll doProvide technical leadership across solution design, ensuring scalability, reliability, and efficiency.Design and guide platform-first IT solutions aligned with business goals — thinking in tasks, goals, and decision loops, not just endpoints.Architect AI-enabled and agentic workflows that embed intelligence directly into business processes, and design agent-backed APIs that operate reliably in production.Define how services produce and consume data at scale, designing clean integrations between applications and data llaborate closely with engineering teams to ensure seamless integration of new systems, balancing speed of delivery with long-term stability.Act as a subject-matter expert in architecture strategy, including cloud-native and event-driven design. Core:7+ years in software engineering, with a strong track record in systems and solutions architecture.Strong hands-on experience with Node.js and TypeScript, and modern API frameworks (e.g. Fastify).Proven experience designing and scaling microservices, services, and modular monoliths, with an API-first, contract-driven approach.Deep familiarity with the Microsoft Azure ecosystem, containerized workloads (AKS or equivalent), and event-driven scaling (e.g. KEDA).Advanced use of GitHub and GitHub Actions for CI/CD.The differentiator — AI & agentic systems:Practical, production-grade experience with LLM integration patterns: RAG (retrieval-augmented generation), prompt orchestration, and tool-usage patterns.Solid grasp of agent orchestration concepts — multi-step workflows, memory, tool calling, and chaining — and clear judgment about when an agent is the right approach versus a conventional service.Data engineering alignment:Understanding of event-driven architectures, streaming vs. batch processing, and data contracts.Experience integrating applications with data platforms (e.g. Databricks) and designing real-time or near-real-time data flows.Ways of working:Excellent communication skills, comfortable interfacing with both technical and non-technical stakeholders.Experience with agile delivery and tools such as Jira.