Build, test, and optimize Google Cloud-native applications and generative AI solutions across the software development lifecycle. Translate client needs into technical designs, develop AI-enabled features using Vertex AI, LLM APIs, prompt engineering, RAG, Python, LangChain, and vector databases, and evaluate model performance and guardrails. Collaborate with stakeholders, review engineering deliverables, manage workstreams, and mentor junior team members.
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 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.
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, 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
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
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. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. 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 workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
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.
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, 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
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
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. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. 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 workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
PwC Charlotte, North Carolina, USA Office
214 North Tryon Street Suite 4200, Charlotte, NC, United States, 28202
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.
Top Skills:
Data ScienceGCPGoogle Vertex AiLangchainLanggraphLlm ApisLlmopsMachine LearningPrompt EngineeringPythonRetrieval-Augmented GenerationVector Databases
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports healthcare provider technology consulting engagements by analyzing business processes, assisting with application implementation and testing, validating data flows, documenting issues, preparing training materials, and helping clients improve revenue cycle, scheduling, administrative, and workforce operations.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports healthcare provider consulting engagements involving business application analysis, implementation, configuration, testing, operational transformation, and user adoption. Analyzes scheduling, finance, supply chain, reporting, HCM, and administrative processes; develops recommendations, coordinates workstreams, tracks milestones, creates training materials, guides junior staff, and builds client relationships.
Top Skills:
Business ApplicationsData Reporting SystemsHcmRevenue Cycle SystemsScheduling SystemsSupply Chain Systems
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
