AI Architect

AI Architect

Location : - Ascendion Office

2nd Floor, Prestige Blue Chip Software Park Tower-1, PRESTIGE BLUE CHIP SOFTWARE PARK, Marigowda Rd, Dairy Colony, Adugodi, Bengaluru, Karnataka 560029

Job Summary : 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 modelling