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# Senior Engineer, Google Cloud

- **Company:** PwC
- **Location:** Buffalo, NY, United States
- **Experience:** Expert
- **Salary:** $77,000.0 - $202,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Cloud Engineering, Python (Programming Language), Software Engineering, Google Cloud, Spring Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Google Vertex AI, Generative AI, Machine Learning Operations, Service Stack, Programming Languages
- **Published:** November 3, 2026
- **Apply:** https://dejobs.org/x/x/EB4A96F87D464B12B553BB0C881F3550/job/

## About the Role

What You Must Have

 * At least a Bachelor's degree
 * At least 3 years of experience

What Sets You Apart

 * Demonstrating Google Vertex AI and LLM APIs experience
 * Applying Python, LangChain, and LangGraph in delivery
 * Building retrieval-augmented generation and vector database solutions
 * Evaluating LLM guardrails, testing, and LLMOps practices
 * Translating client needs into cloud-native engineering work
 * Mentoring junior team members through complex delivery tasks

## Description

As a Senior Engineer, Google Cloud you will focus on building, testing, and optimizing cloud-native applications on Google Cloud, supporting work that spans the full software development lifecycle from new application ideas to modernization of legacy platforms. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, mentor junior team members, and navigate changing priorities while using cloud engineering, data, analytics, and AI skills to deliver work within our Advisory practice. In this role at PwC, you will contribute to the design and delivery of Google Cloud-native solutions that align with business needs, applying technical judgment, interpreting feedback, and using a range of tools and methods to develop, test, and refine applications across technology stacks, programming languages, and delivery phases., * Building cloud-native applications and generative AI solutions on Google Cloud across the full software development lifecycle

 * Translating client requirements into technical designs for greenfield products and modernization efforts
 * Developing and testing AI-enabled features using Google Vertex AI, LLM APIs, prompt engineering, and retrieval-augmented generation patterns
 * Applying Python, LangChain, LangGraph, vector databases, and LLMOps practices to create scalable engineering solutions
 * Evaluating model performance, guardrails, and orchestration approaches to improve reliability and business fit
 * Collaborating with client stakeholders to shape technical direction, clarify priorities, and adapt delivery plans as needs evolve
 * Reviewing code, design choices, and deliverables for alignment with engineering methods, security needs, and platform standards
 * Mentoring junior team members and contributing to knowledge sharing across cloud engineering and AI delivery efforts

## About PwC

When you work with PwC's Engineering, you work with builders who live and breathe advanced software-building techniques. AI-native by design and outcomes-driven, we execute at speed and at scale. We build the technology that powers modern business, from core cloud platforms to data and AI, from digital products to modern operations. We architect and orchestrate your cloud, AI, and data into one intelligent, evolving system — so you're built for what's next, not just what's now, with confidenc...
**Industries:** Consulting

[Company profile](https://www.wearedevelopers.com/companies/136-pwc)

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