AI Architect/10+ years/Bangalore

Title: System Architect

Role Purpose

Own the technical direction, solution integrity, and day-to-day engineering leadership for ongoing client projects in the Generative AI space. The architect guides cross-functional squads from design through production, ensuring 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 (quality, security, data residency, 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 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

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 with Azure PaaS (Blob, Functions, ADF, ACR, AKS) and IaC (Bicep/Terraform).
• Strong grasp of test automation—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.

Job Type: Full-time

Pay: ₹2,200,000.00 - ₹4,000,000.00 per year

Work Location: In person