Senior Software Architect
- VMware
- 10 - 15 years
- Hyderabad
- 18 hours ago
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Job Description
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Job Description:Product Architect - GenAI/AI-ML Engineering
Customer-Focused Problem Solving with Practical AI Implementation
Position Overview
We are seeking a Senior Architect with a strong QA mindset and hands-on engineering expertise to drive customer value through strategic application of Generative AI and Machine Learning technologies. This role requires a pragmatic approach to AI implementation focusing on solving real customer problems and product pain points rather than superficial AI integration for marketing purposes.
The ideal candidate will work across multiple enterprise DevOps product lines (Agile Requirements Designer, Service Virtualization, Test Data Manager, Nolio Release Automation and Continuous Delivery Director) to identify opportunities where AI/ML can deliver measurable business value, design and implement solutions, and ensure quality through comprehensive testing and validation.
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 seamlessly 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 for AI model wrappers and data processing
Integration tests for AI service endpoints
Performance and load testing for AI inference pipelines
Accuracy and validation testing for model outputs
A/B testing frameworks for model comparison
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 that can handle production workloads
Required Technical Expertise Core Programming Languages
Java 17+ (Spring Boot 3.5+, microservices architecture)
Python 3.10+ (AI/ML development, data processing)
TypeScript/JavaScript (Angular 19, React, Node.js)
SQL (complex queries, database optimization)
AI/ML Technologies & Frameworks
Generative AI:
LangChain and LangGraph for multi-agent workflows
OpenAI API, Anthropic Claude, or similar LLM APIs
Prompt engineering and optimization
RAG (Retrieval-Augmented Generation) implementations
Vector databases and embeddings
Machine Learning:
Scikit-learn, pandas, NumPy for traditional ML
Model training, evaluation, and deployment
Feature engineering and data preprocessing
Model versioning and MLOps practices
AI/ML Infrastructure:
Model serving and inference pipelines
API design for AI services
Performance optimization for AI workloads
Cost optimization for AI API usage
Enterprise Technology Stack
Backend Frameworks:
Spring Boot 3.5+ (Java microservices)
Grails 5.3+ (legacy system maintenance)
RESTful APIs and GraphQL
Frontend Technologies:
Angular 19+ (modern web applications)
React (component-based UI)
TypeScript, JavaScript (ES6+)
Webpack, Vite, or modern build tools
Database & Data Management:
PostgreSQL, MySQL, MSSQL, Oracle
MongoDB (NoSQL)
Database schema design and optimization
Data migration and ETL processes
DevOps & Infrastructure:
Docker and containerization
CI/CD pipelines (Jenkins, GitLab CI)
Gradle, Maven (build automation)
Kubernetes (container orchestration - preferred)
Authentication & Security:
Keycloak, OAuth2, JWT
Security best practices for AI systems
Data privacy and compliance (GDPR, PII handling)
Testing & Quality Assurance
Testing Frameworks:
JUnit, TestNG (Java)
pytest, unittest (Python)
Jest, Vitest (TypeScript/JavaScript)
Protractor, Selenium (E2E testing)
AI/ML Testing:
Model validation and accuracy testing
A/B testing frameworks
Performance benchmarking
Bias detection and fairness testing
Additional Technologies (Nice to Have)
C++/Qt (desktop application development)
Groovy (build scripts, legacy systems)
XML/XSLT (data transformation)
GraphQL (API design)
Required Qualifications Education & Experience
Bachelors degree in Computer Science, Engineering, or related field (Masters preferred)
10+ years of software development experience
3+ years of hands-on experience with AI/ML implementation in production systems
5+ years of experience with enterprise Java and Spring Boot
Proven track record of solving customer problems with measurable business impact
Technical Skills
Strong QA mindset with experience in test-driven development (TDD)
Experience with AI/ML frameworks (LangChain, LangGraph, scikit-learn, TensorFlow, or PyTorch)
Proficiency in prompt engineering and LLM optimization
Understanding of MLOps practices and model lifecycle management
Experience with microservices architecture and distributed systems
Strong database skills including complex queries and optimization
Experience with cloud platforms (AWS, Azure, or GCP) preferred
Soft Skills
Customer-focused mindset - ability to translate customer pain points into technical solutions
Pragmatic approach - focus on value delivery over technology for technologys sake
Strong problem-solving skills - ability to analyze complex problems and design effective solutions
Excellent communication - ability to explain technical concepts to non-technical stakeholders
Collaborative - works effectively with cross-functional teams
Self-directed - able to identify opportunities and drive initiatives independently
Preferred Qualifications
Experience with test data management or data generation systems
Experience with requirements management or test automation tools
Knowledge of PII detection and privacy compliance (GDPR, CCPA)
Experience with synthetic data generation using AI
Familiarity with enterprise software development lifecycle
Experience with legacy system modernization and migration
Contributions to open-source AI/ML projects
Published papers or presentations on AI/ML topics
What Youll Be Working On Product Lines
ARD (Agile Requirements Designer) - Requirements management and test automation platform
SV (Service Virtualization) - Service virtualization and API mocking platform
TDM (Test Data Manager) - Test data management and synthetic data generation
Nolio Nolio Release Automation
CDD Continuous Delivery Director
What Were NOT Looking For
AI hype followers who want to add AI features just because its trendy
Theoretical researchers without practical implementation experience
Developers who avoid testing or dont value quality assurance
Solo contributors who cant work collaboratively
Technology chasers who prioritize new tech over customer value
What We ARE Looking For
Pragmatic problem solvers who use AI/ML as a tool to solve real problems
Quality-focused engineers who write tests and ensure reliability
Customer advocates who understand user pain points and design solutions accordingly
Hands-on architects who can both design and implement solutions
Value creators who measure success by business impact, not technology adoption
Work Environment
This position requires to be onsite, 5 days work week
Collaborative team environment with cross-functional teams
Access to cutting-edge AI/ML tools and infrastructure
Opportunity to work on multiple product lines and technologies
Application Instructions
Please submit:
Resume/CV highlighting relevant experience
Cover letter describing:
A specific example of how youve used AI/ML to solve a customer problem
Your approach to ensuring quality in AI/ML implementations
Why youre interested in this role
Portfolio/GitHub links showcasing AI/ML projects (if available)
Code samples demonstrating your technical skills (optional but preferred)
.
Location: Hyderabad, India
Employment Type: Full-timeTravel: Minimal (as needed for customer visits)
This position offers the opportunity to work at the intersection of AI/ML innovation and practical problem-solving, making a real impact on customer success and product quality.
Broadcom is proud to be an equal opportunity employer. We will 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 federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.
If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.
This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: VMwareLocation(s): Hyderabad
Keyskills: C++ Automation Manager Quality Assurance XML MySQL XSLT Oracle Testing SQL Python
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