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 New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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