AI Engineering Platform Lead/Solution Architect

Brillius Technologies; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Brillius Technologies is seeking an AI Engineering Platform Lead to build Brillius Stack and Brillius Brain—an AI-assisted software development framework for all Brillius products. You will define architecture, tooling, and standards that accelerate delivery and ensure quality.

This role focuses on platform engineering, security reviews, production-readiness, and mentoring junior engineers to raise the team's capabilities. Location: Hyderabad.

Qualifications

• 5–10 years of software engineering experience with full-stack scope.
• Experience designing scalable SaaS architectures for cloud environments.
• Ability to mentor junior engineers and lead platform initiatives.

Responsibilities

• Design and own the Brillius AI-assisted software-development platform.
• Establish engineering standards, patterns, and security practices.
• Build reusable AI skills, agents, prompts and workflows.
• Mentor juniors and improve developer productivity.
• Evaluate new AI developer tools and integrate them into the platform.

Skills

Full-stack engineering

Architecting scalable SaaS

CI/CD / DevOps

RBAC & security basics

Mentoring junior engineers

Education

Bachelor's degree in CS or related field

Tools

React/Next.js

TypeScript

Python

Node.js

PostgreSQL

AWS

Docker

GitHub Actions

Vector databases

LLM APIs

Redis

Job description

AI Engineering Platform Lead/ Solution Architect

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
• Security reviews
• Automated testing and QA
• Release and deployment workflows
• Production-readiness checks
• Organizational engineering memory
• Developer documentation and standards

The objective is to establish a repeatable flow such as:

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
• Coding conventions
• Testing standards
• Security practices
• Observability and logging
• CI/CD and deployment
• Rollback and incident procedures

The platform should support vertical-specific extensions such as:

BrilliusLaw Stack

while inheriting common Brillius engineering standards.

You will establish a persistent engineering knowledge layer that captures:

• Known issues and solutions
• Security lessons
• Development standards
• Technical research

The goal is simple:

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 automationSecurity 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.

Manyengineers 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 patterns.
• Create vertical extensions for BrilliusLaw and BrilliusLearning.
• Build the Brillius engineering knowledge/memory system.
• Standardize testing, QA, security and release workflows.
• Improve developer productivity and reduce engineering rework.
• Mentor junior engineers in AI-assisted development.
• Review important architecture and infrastructure decisions.
• Establish production-readiness and observability standards.
• Continuously evaluate new AI developer tools and incorporate useful capabilities.

What We Are Looking For

Strong candidates will have:

• 5–10 years of software-engineering experience
• Strong full-stack engineering fundamentals
• Experience designing scalable SaaS architectures
• Strong knowledge of APIs and relational databases
• Experience with cloud infrastructure such as AWS/Azure/GCP
• CI/CD and DevOps understanding
• Experience with authentication, authorization and RBAC
• Good understanding of software security
• Strong testing and QA discipline
• Experience reviewing architecture and production systems
• Ability to mentor junior engineers

AI Experience

You should have hands-on experience with at least some of:

• Claude Code
• OpenAI APIs / Codex-style development tools
• Cursor
• GitHub Copilot
• Agentic coding frameworks
• AI workflow orchestration
• RAG / vector databases
• AI agents
• Prompt/Skill design
• LLM evaluation
• AI-assisted testing or code review

You do not need experience with every tool listed above.

What matters is that you understand how to turn AI capabilities into a disciplined engineering workflow.

Preferred Technical Background

Experience with some of the following would be valuable:

• React / Next.js
• TypeScript
• Python
• Node.js
• PostgreSQL
• Supabase
• AWS
• S3
• Redis
• Docker
• GitHub Actions
• Vector databases
• LLM APIs
• Monitoring / observability platforms

You Will Be Successful If

Within the first 3-4 months:

• Developers follow a consistent AI-assisted feature-development lifecycle.
• Architecture and coding standards are documented and enforceable.
• Junior engineers can build features faster with less rework.
• QA, security and deployment checks become systematic.
• Important engineering lessons automatically become reusable organizational knowledge.

Who This Role Is For

This role may suit someone who has previously worked as a:

• Staff Software Engineer
• Principal Engineer
• Solutions Architect
• AI Engineering Lead
• Developer Platform Engineer
• Developer Experience Engineer
• Engineering Productivity Lead
• Full-Stack Architect
• AI Platform Engineer

You should enjoy building systems that help other engineers build better software , rather than only owning individual application features.

Why Brillius

We are building AI-native products across multiple professional verticals.

Our objective is not simply to add AI features into applications.

We want to create a development organization where: AI accelerates execution, engineering standards maintain quality, and organizational knowledge compounds over time. You will have significant ownership in defining that engineering model.