Senior Engineer, Google Cloud

PwC•Tampa, FL

2d•$77,000 - $202,000

About The Position

As a Senior Engineer, Google Cloud, you will build, test, and optimize cloud-native applications on Google Cloud, supporting work across the full software development lifecycle—from new application ideas to modernization of legacy platforms. As a Senior Associate in PwC’s Advisory practice, you will analyze complex problems, manage assigned workstreams, build client connections, mentor junior team members, and adapt to changing priorities. You will contribute to the design and delivery of Google Cloud-native solutions aligned with business needs, applying technical judgment and using a range of tools and methods to develop, test, and refine applications across technology stacks, programming languages, and delivery phases.

Requirements

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

Nice To Haves

Google Vertex AI and LLM APIs experience.
Experience applying Python, LangChain, and LangGraph in delivery.
Experience building retrieval-augmented generation and vector database solutions.
Experience evaluating LLM guardrails, testing, and LLMOps practices.
Ability to translate client needs into cloud-native engineering work.
Ability to mentor junior team members through complex delivery tasks.

Responsibilities

Build cloud-native applications and generative AI solutions on Google Cloud across the full software development lifecycle.
Translate client requirements into technical designs for greenfield products and modernization efforts.
Develop and test AI-enabled features using Google Vertex AI, LLM APIs, prompt engineering, and retrieval-augmented generation patterns.
Apply Python, LangChain, LangGraph, vector databases, and LLMOps practices to create scalable engineering solutions.
Evaluate model performance, guardrails, and orchestration approaches to improve reliability and business fit.
Collaborate with client stakeholders to shape technical direction, clarify priorities, and adapt delivery plans as needs evolve.
Review code, design choices, and deliverables for alignment with engineering methods, security needs, and platform standards.
Mentor junior team members and contribute to knowledge sharing across cloud engineering and AI delivery efforts.