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