System Architect

Role Overview: As a System Architect in the Generative AI space, you will be responsible for owning the technical direction, ensuring solution integrity, and providing day-to-day engineering leadership for ongoing client projects. You will guide cross-functional squads from design through production, focusing on delivering scalable, maintainable, and compliant solutions. Key Responsibilities: - Solution Architecture - Design end-to-end architecture covering React-TypeScript front-ends, FastAPI micro-services, Python business logic, Azure data layers, and OpenAI API integration. - Define interface contracts, event flows, observability standards, and non-functional requirements such as quality, security, data residency, and performance. - Generative AI - Establish prompt/response validation, abuse mitigation, and PII safeguards for GPT-4o-class models. - Benchmark chat completion and Responses API, embedding models and vector index strategies; tune retrieval pipelines for factual accuracy. - Technical Leadership - Convert epics to WBS, map to Jira boards, and drive backlog refinement with BAs. - Provide hands-on code reviews across UI, API, and data layers; resolve system-wide blockers. - Delivery Management - Align sprint goals with contractual milestones, working with the Program Director. - Coordinate SIT/UAT, oversee automated regression with Pytest, Jest/Playwright, and CI/CD pipelines. - Stakeholder Engagement - Present solution trade-offs to client architects and execs; adjudicate scope vs. risk. - Mentor 10-15 engineers; run architecture guilds and knowledge-sharing sessions. Qualification Required: - Minimum Qualifications - 12+ years designing and shipping full-stack SaaS or data platforms, with 5+ years in architectural leadership. - Proven production use of LLM-powered features (e.g., RAG, multi-agent orchestration). - Deep expertise in React, TypeScript, FastAPI, Python 3.11+, asynchronous patterns, and REST/GraphQL. - Hands-on experience with Azure PaaS (Blob, Functions, ADF, ACR, AKS) and IaC (Bicep/Terraform). - Strong grasp of test automation using Pytest, Jest, Selenium/Playwright, and quality gates. - Familiarity with data modeling, SQL/NoSQL (Azure SQL, Cosmos DB), vector stores, and Delta Lake. - Demonstrated ability to lead distributed teams and interface with C-level stakeholders. - Preferred Qualifications - Prior work on financial-services analytics or regulatory environments. - Experience hardening Azure OpenAI deployments for enterprise use. - Exposure to Observability stacks (OpenTelemetry, Prometheus, Grafana), and threat modeling.,