Senior Software Architect

Broadcom Inc.; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Broadcom Inc. is seeking a Product Architect specializing in GenAI/AI-ML Engineering in Hyderabad, India. This role will focus on delivering customer-focused AI solutions, solving practical problems through Generative AI technologies.

The ideal candidate must possess strong programming skills in Java and Python with extensive experience in AI/ML frameworks. The position offers a collaborative work environment, focusing on quality and customer satisfaction.

Qualifications

• 10+ years of software development experience.
• 3+ years of experience with AI/ML in production.
• Strong QA mindset with TDD.

Responsibilities

• Analyze customer feedback and design AI-powered solutions.
• Write production-quality code across technology stacks.
• Define AI/ML architecture patterns and best practices.

Skills

Java 17+

Python 3.10+

TypeScript/JavaScript

AI/ML technologies like LangChain and OpenAI API

MLOps practices

Docker and CI/CD

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

PostgreSQL

MySQL

Jenkins

Job description

Overview

Product Architect - GenAI/AI-ML Engineering. Customer-Focused Problem Solving with Practical AI Implementation. Senior Architect with a QA mindset to drive customer value through Generative AI and Machine Learning technologies. The role focuses on solving real customer problems and product pain points, not superficial AI for marketing purposes.

Key Responsibilities

1. Customer Problem Identification & Solution Design
   • Analyze customer feedback, support tickets, and product usage data to identify pain points and opportunities for AI/ML intervention
   • Conduct root cause analysis of product issues and design AI-powered solutions that address underlying problems
   • Design end-to-end solutions that integrate AI/ML capabilities into existing product workflows
   • Create proof-of-concepts (POCs) to validate AI solutions before full implementation
   • Measure and demonstrate ROI of AI implementations through quantifiable metrics (time savings, error reduction, user satisfaction)
2. Hands-On Development & Implementation
   • Write production-quality code across multiple technology stacks (Java, Python, TypeScript, C++)
   • Implement AI/ML models using frameworks like LangChain, LangGraph, OpenAI APIs, and custom ML pipelines
   • Integrate AI capabilities into existing microservices and monolithic applications
   • Build APIs and services that expose AI functionality to product features
   • Develop data pipelines for training, inference, and model management
   • Code reviews and technical leadership for AI/ML implementations
3. Quality Assurance & Testing
   • Design comprehensive test strategies for AI/ML systems including unit tests, integration tests, performance and load testing, accuracy and validation testing, and A/B testing frameworks
   • Implement automated testing for AI features to ensure reliability
   • Validate AI outputs for correctness, bias, and edge cases
   • Monitor AI system performance in production and establish alerting
4. Architecture & Technical Leadership
   • Define AI/ML architecture patterns and best practices for the organization
   • Create technical documentation for AI implementations
   • Mentor engineers on AI/ML best practices and pragmatic implementation approaches
   • Evaluate and select AI/ML tools and frameworks based on technical merit and business value
   • Design scalable AI infrastructure to handle production workloads

Required Technical Expertise

• Core Programming Languages — Java 17+ (Spring Boot 3.5+, microservices), Python 3.10+ (AI/ML), TypeScript/JavaScript (Angular 19, React, Node.js), SQL
• AI/ML Technologies & Frameworks — LangChain, LangGraph, OpenAI API, Anthropic Claude or similar LLM APIs; prompt engineering; RAG; vector databases and embeddings; scikit-learn, pandas, NumPy; model training, evaluation, deployment; MLOps practices
• AI/ML Infrastructure — model serving and inference pipelines; API design for AI services; performance and cost optimization
• Enterprise Technology Stack — Spring Boot, Grails; RESTful APIs and GraphQL; frontend: Angular, React; TypeScript/JavaScript; databases: PostgreSQL, MySQL, MSSQL, Oracle, MongoDB
• DevOps & Infrastructure — Docker, CI/CD (Jenkins, GitLab CI), Gradle, Maven, Kubernetes
• Authentication & Security — Keycloak, OAuth2, JWT; data privacy and compliance (GDPR, PII handling)
• Testing & Quality Assurance — JUnit/TestNG, pytest/unittest, Jest/Vitest, Protractor/Selenium

Required Qualifications

• Education & Experience — Bachelor's degree in CS/Engineering (Master's preferred); 10+ years software development; 3+ years AI/ML in production; 5+ years enterprise Java & Spring Boot
• Technical Skills — strong QA mindset with TDD; AI/ML frameworks; prompt engineering and LLM optimization; MLOps; microservices and distributed systems; strong DB skills; cloud platforms (AWS, Azure, GCP) preferred
• Soft Skills — customer-focused, pragmatic, problem-solving, excellent communication, collaborative, self-directed

Preferred Qualifications

• Experience with test data management or data generation
• Requirements management or test automation tools
• PII/privacy familiarity (GDPR, CCPA); synthetic data generation with AI
• Enterprise software lifecycle familiarity; legacy modernization; contributions to open-source
• Published papers/presentations on AI/ML

What You'll Be Working On

• Product Lines: ARD, SV, TDM, Nolio, CDD

What We're NOT Looking For

• AI hype followers with no practical implementation experience
• Theoretical researchers without practical application
• Developers who avoid testing or quality assurance
• Solo contributors who cannot collaborate
• Tech chasers who prioritize new tech over customer value

What We ARE Looking For

• Pragmatic problem solvers using AI/ML to solve real problems
• Quality-focused engineers who write tests and ensure reliability
• Customer advocates who understand user pain points
• Hands-on architects who can both design and implement solutions
• Value creators who measure success by business impact

Work Environment

Onsite, 5 days per week. Collaborative team environment with access to AI/ML tools and infrastructure. Opportunity to work on multiple product lines and technologies.

Application Instructions

• Resume/CV highlighting relevant experience
• Cover letter describing: a specific AI/ML customer problem solution, approach to ensuring AI quality, and interest in the role
• Portfolio/GitHub links (if available)
• Code samples (optional but preferred)

Location: Hyderabad, India. Employment Type: Full-time. Travel: Minimal as needed for customer visits.

About Broadcom

Broadcom is an equal opportunity employer. We consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by law. We may consider applicants with arrest and conviction records in line with local law. If located outside the USA, please provide a home address for future correspondence.

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