Designs, builds, tests, and troubleshoots full-stack cloud-native applications on AWS. Translates client needs into technical solutions across architecture, development, testing, and delivery; builds scalable infrastructure and integration patterns; applies AI-enabled engineering methods; and supports modernization initiatives. The role also reviews technical work, mentors junior engineers, collaborates with architecture teams, and helps deliver cloud, data, and analytics solutions.
The Opportunity
As a Senior Associate, Full Stack AI Engineer - AWS you will design, build, and test cloud-native applications using AWS services, modern engineering practices, and AI-enabled methods across the software development lifecycle. As a Senior Associate you will analyze complex problems, manage assigned workstreams, mentor junior team members, and build client relationships while navigating ambiguity and growing your technical skills within our Advisory practice. In this role at PwC, you will contribute to AWS-native development and testing efforts, support architecture and implementation activities, interpret feedback to refine deliverables, and help deliver solutions that align with client needs across cloud engineering, data, and analytics initiatives.
Responsibilities
- Developing full stack applications on AWS using cloud-native services, CI/CD practices, and modern engineering methods
- Translating client needs into technical solutions across architecture, design, build, and test phases of delivery
- Analyzing complex application and platform issues and applying troubleshooting methods to resolve defects and performance bottlenecks
- Building scalable cloud infrastructure and integration patterns that support modernization of legacy systems and greenfield development
- Implementing testing approaches across the software development lifecycle to validate functionality, security, and reliability
- Applying AI-enabled engineering techniques to accelerate requirements definition, solution design, and delivery activities
- Reviewing work products and mentoring junior team members on coding, design, testing, and delivery methods
- Collaborating with architecture and engineering teams to shape solution decisions and align technical choices with project objectives
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Design/Multimedia, Engineering, Operations/Supply Chain, Project/Technology Management
- Demonstrating AWS-native application development across build and test phases
- Applying full stack engineering skills within cloud delivery environments
- Using AI-native engineering methods for requirements, architecture, and testing
- Translating business needs into software across technology stacks
- Navigating ambiguity while mentoring junior team members
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 Associate, Full Stack AI Engineer - AWS you will design, build, and test cloud-native applications using AWS services, modern engineering practices, and AI-enabled methods across the software development lifecycle. As a Senior Associate you will analyze complex problems, manage assigned workstreams, mentor junior team members, and build client relationships while navigating ambiguity and growing your technical skills within our Advisory practice. In this role at PwC, you will contribute to AWS-native development and testing efforts, support architecture and implementation activities, interpret feedback to refine deliverables, and help deliver solutions that align with client needs across cloud engineering, data, and analytics initiatives.
Responsibilities
- Developing full stack applications on AWS using cloud-native services, CI/CD practices, and modern engineering methods
- Translating client needs into technical solutions across architecture, design, build, and test phases of delivery
- Analyzing complex application and platform issues and applying troubleshooting methods to resolve defects and performance bottlenecks
- Building scalable cloud infrastructure and integration patterns that support modernization of legacy systems and greenfield development
- Implementing testing approaches across the software development lifecycle to validate functionality, security, and reliability
- Applying AI-enabled engineering techniques to accelerate requirements definition, solution design, and delivery activities
- Reviewing work products and mentoring junior team members on coding, design, testing, and delivery methods
- Collaborating with architecture and engineering teams to shape solution decisions and align technical choices with project objectives
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Design/Multimedia, Engineering, Operations/Supply Chain, Project/Technology Management
- Demonstrating AWS-native application development across build and test phases
- Applying full stack engineering skills within cloud delivery environments
- Using AI-native engineering methods for requirements, architecture, and testing
- Translating business needs into software across technology stacks
- Navigating ambiguity while mentoring junior team members
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 San Francisco, California, USA Office


405 Howard Street Suite 600, San Francisco, CA, United States, 94105
PwC San Jose, California, USA Office


488 Amaden Boulevard, San Jose, CA, United States, 95110
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads external audit support focused on ASC 740 income tax accounting and financial statement audit activities. Manages engagements, budgets, timelines, deliverables, work quality, and stakeholder communication. Reviews tax workpapers and financial reporting documentation, resolves complex issues, applies GAAP and GAAS, and coaches onshore and offshore teams. Uses technology and AI to improve audit quality and efficiency while maintaining professional standards, independence, and compliance.
Top Skills:
AIAsc 740GaapGaas
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads multidisciplinary teams delivering AI-enabled, cloud-native applications on AWS. Oversees architecture, development, testing, deployment, modernization, platform engineering, security, reliability, and client advisory activities. Translates business objectives into technical roadmaps, guides complex engineering work, coordinates cross-functional architecture reviews, communicates delivery risks and options, and coaches teams across multiple workstreams.
Top Skills:
Artificial IntelligenceAWSCloud-Native ArchitecturePlatform Engineering
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads AWS-native application engineering initiatives across architecture, development, testing, deployment, and modernization. Sets technical direction, oversees multiple delivery workstreams, guides AI-enabled engineering practices, and develops scalable cloud solutions. Builds executive client relationships, shapes transformation roadmaps, supports business development, mentors engineering teams, and drives application performance, security, reliability, and cloud modernization across AWS and other major cloud platforms.
Top Skills:
AIAWSAzureCloud InfrastructureCloud VirtualizationGCP
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine





