Software Architect

Job Title: Software Architect Reports to: Chief Architect Location: Ireland - Remote Purpose We're hiring a Software Architect to partner with our Chief Architect and engineers to design, build, and ship AI-first software at the pace the market now demands. This is a hands-on role for an architect who still loves writing code and is energised by what generative AI has done to how real products get built. Adherent helps global businesses understand and act on the regulations that govern their products. The domain is a near-perfect fit for AI: the volume of regulatory content is enormous, change is constant, and the payoff for structuring it well is transformational. Our regulatory content platform is already trusted by some of the world's largest manufacturers — the opportunity now is to put AI on top of that foundation. Generative AI hasn't just improved what we ship — it has changed what's possible to ship. We're leaning into that hard, and architecture capacity is currently the rate-limiter on how fast we turn opportunity into product. That's the gap you fill. What you'll do You will design, build, and deliver in roughly equal measure. Design AI-first systems end-to-end — data ingestion and structuring, retrieval and search, agentic workflows, evaluation pipelines, human-in-the-loop interfaces, and the orchestration glue that holds it all together. Build. Write production code. Stand up prototypes. Pair with engineers. Cut through ambiguity by getting something working and iterating. Deliver. Own outcomes from architecture through release. Keep systems performant, economical to run, and stable in production — including the cost and latency profile of LLM-backed features. Raise the bar — patterns, evaluation discipline, prompt and model strategy, and what "good" looks like when LLMs sit in the critical path. We measure AI features against held-out evals before they ship, not vibes. Build with AI, not just on it. We are an AI-native engineering org — agentic coding tools are part of how we work, including autonomous and semi-autonomous development loops. You should be fluent in this way of working and help push it further. Engage with the product — partner with product and domain experts to translate hard customer problems into AI-shaped solutions. We don't build features looking for a problem. Collaborate closely with Engineering to translate architectural vision into implementable engineering roadmaps and ensure seamless integration of machine learning models and AI capabilities within our core architecture. Engage with the Product team to understand market needs and ensure the architecture supports future product directions. Qualifications 5+ years of software engineering experience with at least 5 years in architectural roles Proven experience architecting large-scale, secure SaaS applications Strong understanding of cloud architecture principles and experience with major cloud platforms, especially AWS and serverless Experience with AI/ML system integration and the unique architectural considerations they present Knowledge of security frameworks and compliance standards (SOC 2, GDPR, etc.) Expertise in API design, microservices architecture, and distributed systems Understanding of data architecture principles and experience with both SQL and NoSQL databases Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Experience working in regulated industries or compliance-focused environments is highly desirable Preferred Skills Experience with containerization and orchestration technologies (Docker, Kubernetes) Familiarity with regulatory compliance domains (product safety, environmental, etc.) Understanding of DevSecOps practices and CI/CD pipelines Experience with event-driven architectures and real-time processing systems Background in implementing zero-trust security models Our stack You don't need experience with every item, but this is the landscape you'll work in: TypeScript and Python across a monorepo codebase; serverless and edge deployment; multi-tenant PostgreSQL with strict tenant isolation; graph and document stores for global regulatory content; event-driven background workflows and data pipelines; LLM pipelines with structured extraction, agentic orchestration, and evaluation harnesses. Specific tools and frameworks come up in the interview process — what matters here is the shape of the work, not the brand names. Who we're looking for A senior engineer first, an architect second. You think in code as much as in diagrams. You've shipped non-trivial generative-AI systems to production — RAG, agentic workflows, structured extraction, evaluation harnesses, or some combination — and can speak in detail about what worked and what didn't. You've designed and operated cloud-native, multi-tenant systems at scale, and you make architecture decisions that hold up under real traffic, real data volumes, and real cost constraints. You work across the