Senior Engineer, Google Cloud

Industry/Sector Not Applicable Specialism Data , Analytics & AI Management Level Senior Associate

Job Description & Summary The Opportunity 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 work streams, 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.

Responsibilities
- 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, Lang Chain, Lang Graph, 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

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, Lang Chain, and Lang Graph 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

Travel Requirements Up to 80%
Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

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As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: .

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At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted…