Solution Architect

We are hiring a hands-on Solutions Architect to design, build, and operate complex, regulated, global solutions across payroll, tax, and immigration domains. This role is technical-first: you will own the end-to-end architecture for a product or suite of products and contribute directly to implementation (spikes, reference services, critical-path features), while partnering with a global, cross-functional team to drive delivery, deployments, and production support across time zones. You will also lead the adoption of AI-powered development practices—including spec-driven development and agentic coding tools (e.g., Claude Code, Codex)—and design AI-enabled solutions using Azure OpenAI APIs and intelligent agents to automate business process flows.

·       Architecture + Build: Produce architecture designs and implement key components (reference implementations, platform libraries, integration adapters, critical workflows).

·       Distributed Systems: Design and build event-driven services (messaging, async workflows, idempotency, retries, backpressure, eventual consistency), including well-defined event contracts and versioning strategies.

·       Azure Solution Design: Build using Azure PaaS services and patterns (identity, networking, storage, messaging, API management, monitoring), with practical tradeoffs across cost, scalability, resilience, and latency. Design and integrate AI capabilities using Azure OpenAI APIs (GPT, embeddings, assistants) to enable intelligent features and agent-driven automation within business process flows.

·       Front-End Architecture: Architect and ship large Next.js/React applications (routing, state strategy, data-fetching patterns, performance, accessibility, modularization, micro-frontend considerations where relevant).

·       Integration Architecture: Define secure integration patterns (REST and event-based), build connectors/adapters, and establish operational runbooks for partner/client integrations.

·       Security by Design: Implement secure SDLC practices—threat modeling, secrets management, encryption, least-privilege access, audit logging, and secure defaults aligned to regulated environments.

·       Authentication & Authorization: Implement end-to-end authn/authz using OAuth2/OIDC, SSO, and token-based access. Design RBAC/ABAC/ReBAC, tenant-aware authorization, API scopes/claims, and service-to-service identity (e.g., managed identities).

·       Operational Readiness: Own observability and reliability patterns (structured logging, metrics, tracing, SLOs, alerting, incident response) and participate in troubleshooting production issues.

·       Documentation that Ships: Create actionable architecture artifacts (ADRs, sequence diagrams, domain flows, deployment diagrams, runbooks) that teams can execute against.

·       AI Agent Design; Process Automation: Design, build, and deploy AI agents that automate business process flows—using Azure OpenAI APIs, function calling, orchestration frameworks, and RAG pipelines—with appropriate guardrails, evaluation, and human-in-the-loop controls for regulated environments.

·       Technical Leadership: Drive peer architecture/code reviews, coach engineers, and raise engineering standards across onshore/offshore teams. Lead and mentor teams in agentic development practices—spec-driven workflows, AI-assisted coding (Claude Code, Codex), and automated test/review generation—to accelerate delivery velocity while maintaining quality and governance.

·       Event-based systems (pub/sub, workflow orchestration, event sourcing where appropriate)

·       Distributed systems (partitioning, resiliency, failure-mode design, consistency tradeoffs)

·       Domain-driven integration approaches (bounded contexts, contracts, anti-corruption layers)

·       Agentic AI patterns including plan/execute/verify loops, tool/function calling, RAG, verifier/critic steps, guardrails, evaluation, and agent observability/auditability. Experience applying these patterns to automate business process flows using Azure OpenAI APIs and orchestration frameworks.

·       Experience working in environments using AI for development, build, and operations (coding assistants such as Claude Code and Codex, automated PR reviews, test generation, incident support).

·       Comfortable using a spec-driven AI development workflow: translating requirements into structured specs, acceptance criteria, diagrams, and prompts that accelerate delivery while maintaining governance. Ability to lead teams in adopting agentic development practices—spec-driven development, AI-assisted coding, and agent-based automation—as standard ways of working.

·       10+ years in software engineering, including 3+ years in architecture/solution design (or equivalent scope).

·       Proven experience designing and operating solutions in a regulated global environment (privacy, auditability, security controls, cross-border considerations).

·       Strong Azure experience designing and building cloud-native solutions using Microsoft PaaS and frameworks, including Azure OpenAI APIs for AI-enabled features and agent-based automation.

·       Strong experience architecting Next.js and/or React applications at scale.

·       Demonstrated experience with event-driven and distributed system design and production operations.

·       Hands-on experience with agentic development tools and practices (e.g., Claude Code, Codex, spec-driven development) and a track record of leading engineering teams in AI-assisted delivery workflows.

·       Strong communication skills: can explain tradeoffs clearly to technical and non-technical stakeholders.

·       Experience with enterprise integrations (HRIS, payroll providers, finance systems) and/or iPaaS patterns.

·       Strong testing and automation mindset (TDD/BDD, CI/CD quality gates).

·       Experience with data modeling, SQL, and reporting/analytics.

·       Microsoft certifications (Azure Solutions Architect or similar) a plus.

·       Experience designing AI agents to automate business process flows (e.g., using Azure OpenAI Assistants API, LangChain, Semantic Kernel, or similar orchestration frameworks).