Principal Member of Technical Staff – AI Platform & ValueOps Financial Intelligence Solution

Broadcom

Location: Bengaluru, Karnataka, India
Job type: Full-time

Required skills

AWS
Azure
DevOps
enterprise SaaS
forecasting
GCP
Java
Kubernetes
microservices
product management
SaaS
VMware

About the role

Broadcom

Website: broadcom.com
Job details:
Job Description:

Position Overview

We are seeking a highly technical individual contributor to help build the next generation of the ValueOps Financial Intelligence Solution. As a Principal Member of Technical Staff, you will partner closely with Product Management, Engineering Leadership, AI Platform teams, and Cloud Operations to design and deliver AI-powered capabilities that transform cloud financial management, engineering productivity, and enterprise decision making.

This role combines deep software engineering expertise with AI, cloud, and enterprise platform experience. The ideal candidate is passionate about building intelligent enterprise software and enjoys solving complex business problems using modern AI technologies.

Responsibilities

Design and develop enterprise-scale cloud-native services supporting Unified Hybrid FinOps.
Build AI-powered capabilities using LLMs, Agentic AI, MCP, RAG, and enterprise knowledge platforms.
Develop intelligent services for:

Cloud cost optimization
Tokenomics
Capacity forecasting
Budget recommendations
Executive insights
Portfolio analytics
AI copilots

Partner with Product Management to translate business requirements into scalable technical solutions.
Collaborate with DevOps teams to improve engineering productivity through AI-assisted software development.
Develop APIs, microservices, data pipelines, and AI orchestration services.
Mentor engineers on modern AI engineering practices and software architecture.

Qualifications

8+ years developing enterprise SaaS applications.
Strong Java, Spring Boot, Kubernetes, and distributed systems experience.
Experience with Generative AI, AI Agents, LLM integration, Prompt Engineering, MCP, and RAG.
Experience building cloud-native applications on AWS, Azure, GCP, or VMware Cloud Foundation.
Strong understanding of APIs, microservices, event-driven architectures, and DevOps.
Excellent collaboration and problem-solving skills.

Success Measures

Deliver scalable AI services that become foundational capabilities of the ValueOps Financial Intelligence Solution
Improve engineering productivity through AI-enabled development.
Build reusable AI services that accelerate product innovation across the ValueOps portfolio.

R026468

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Principal Member of Technical Staff – AI Platform & ValueOps Financial Intelligence Solution

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