AI Engineering Platform Lead/Solution Architect

AI Engineering Platform Lead /Solution Architect

Location:

Hyderabad

Company:

Brillius Technologies

Experience:

8

–10 years

Employment:

Full-time

About the Role

Brillius Technologies is building multiple AI-native products, including BrilliusLaw

and BrilliusLearning

.

We are looking for an AI Engineering Platform Lead

to create a common AI-assisted software development framework that can be used across all Brillius products.

The goal is to build what we internally call:

Brillius Stack

— our standardized AI-assisted software engineering lifecycle.

Brillius Brain

— our persistent engineering and product knowledge system.

The role is inspired by modern agentic engineering approaches and the responsibility is to turn these concepts into a Brillius-owned development operating system

covering product validation, UX/design, architecture, coding, reviews, testing, security, deployment and organizational learning.

This is not primarily a conventional application-development role

.

You will build the engineering system that helps the rest of the Brillius engineering team build applications faster and more consistently.

What You Will Build

You will own the creation of a AI Assisted Agentic reusable engineering platform covering:

• Product and feature validation workflows
• Product requirements and engineering planning
• UI/UX design and design-review workflows
• Architecture review
• AI-assisted coding workflows
• Code-review automation
• Security reviews
• Automated testing and QA
• Release and deployment workflows
• Production-readiness checks
• Engineering retrospectives
• Architecture decision records
• Organizational engineering memory
• Developer documentation and standards

The objective is to establish a repeatable flow such as:

Requirement → Product Review → Design → Architecture → Build → Review → Security → QA → Ship → Learn Brillius Stack

You will create a standardized development framework that defines

how software is built at Brillius

.

This includes:

• Approved technology patterns
• Frontend/backend architecture standards
• API conventions
• Database standards
• Authentication and RBAC patterns
• Multi-tenant SaaS standards
• Coding conventions
• Testing standards
• Security practices
• Observability and logging
• DEV / UAT / PROD environments
• CI/CD and deployment
• Rollback and incident procedures
• Build-vs-buy decision frameworks

The platform should support vertical-specific extensions such as:

BrilliusLaw Stack

BrilliusLearning Stack

while inheriting common Brillius engineering standards.

Brillius Brain

You will establish a persistent engineering knowledge layer that captures:

• Architecture decisions
• Product decisions
• Reusable engineering patterns
• Known issues and solutions
• Production incidents
• Security lessons
• Development standards
• Design decisions
• Technical research
• Build-vs-buy decisions
• Engineering retrospectives

The goal is simple:

Solve an engineering problem once, and allow every future Brillius engineer and AI agent to benefit from that knowledge.

AI-Native Engineering

You should be highly comfortable working with modern AI coding and agentic-development tools.

You will evaluate and integrate tools such as:

• Claude Code
• OpenAI / Codex-style coding agents
• GStack-style engineering workflows
• GBrain-style organizational memory
• Git / GitHub
• CI/CD systems
• Automated testing frameworks
• AI-assisted code review
• AI-assisted security review

We are looking for someone who understands that AI should accelerate engineering judgment—not replace engineering responsibility

.

Team Enablement

A significant part of this role is helping junior engineers become highly productive.

Many engineers in this team are early in their careers.

You will create guardrails that allow them to safely use AI for:

• Research
• Architecture
• Development
• Debugging
• Testing
• Documentation
• Deployment

You will also establish mandatory human-review gates for areas such as:

• Architecture
• Database changes
• Security
• Production deployment

Responsibilities

• Design and own the Brillius AI-assisted software-development platform.
• Extend and adapt open-source agentic engineering frameworks where appropriate.
• Build reusable AI Skills, agents, prompts and engineering workflows.
• Establish Brillius engineering standards and architecture patter…