Job Description

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