Leads AWS-native application design, development, testing, modernization, and architecture efforts. Manages technical workstreams, delivery timelines, scope, and team allocation while coaching engineers on cloud infrastructure, AI-native engineering, testing, and troubleshooting. Reviews technical designs and code, coordinates application and infrastructure activities, supports client architecture discussions, and improves delivery reliability and speed.
The Opportunity
As a Manager, Full Stack AI Engineer - AWS you will lead the design, development, testing, and modernization of AWS-native applications across the software development life cycle within our Advisory practice. As a Manager you will guide teams, coach junior professionals, and apply autonomous judgment to complex technology challenges while balancing delivery quality, timelines, and client needs. In this role at PwC, you will oversee work across cloud engineering, application / solution architecture, and AI-native engineering methods, helping shape scalable solutions that support business goals and evolving technology demands.
Responsibilities
- Leading AWS native development and testing workstreams across full software development life cycle phases
- Managing client delivery timelines, scope, and team task allocation for cloud application modernization initiatives
- Guiding teams in applying AI-native engineering techniques to requirements, architecture, build, and test activities
- Developing scalable cloud application architectures using AWS services, CI/CD practices, and platform engineering methods
- Reviewing technical designs and code-level deliverables for alignment with architecture frameworks and solution objectives
- Coordinating application, integration, and infrastructure activities across cloud and network architecture environments
- Coaching team members on cloud infrastructure design, testing approaches, and troubleshooting methods
- Identifying opportunities to improve delivery speed, application reliability, and technical delivery consistency
- Supporting client discussions on architecture decisions, platform tradeoffs, and modernization options
- Applying analytical thinking to resolve complex issues across cloud infrastructure, security, and deployment workflows
What You Must Have
- At least a Bachelor's degree
- At least 5 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
- Completing coursework or projects in AWS-native application development
- Developing full stack solutions using cloud infrastructure and architecture frameworks
- Demonstrating AI fluency within software design and testing
- Applying analytical thinking to platform troubleshooting and integration
- Coaching teammates while advancing client-focused delivery
- Managing complex technical workstreams across agile development cycles
The salary range for this position is: $99,000 - $232,000. 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 Manager, Full Stack AI Engineer - AWS you will lead the design, development, testing, and modernization of AWS-native applications across the software development life cycle within our Advisory practice. As a Manager you will guide teams, coach junior professionals, and apply autonomous judgment to complex technology challenges while balancing delivery quality, timelines, and client needs. In this role at PwC, you will oversee work across cloud engineering, application / solution architecture, and AI-native engineering methods, helping shape scalable solutions that support business goals and evolving technology demands.
Responsibilities
- Leading AWS native development and testing workstreams across full software development life cycle phases
- Managing client delivery timelines, scope, and team task allocation for cloud application modernization initiatives
- Guiding teams in applying AI-native engineering techniques to requirements, architecture, build, and test activities
- Developing scalable cloud application architectures using AWS services, CI/CD practices, and platform engineering methods
- Reviewing technical designs and code-level deliverables for alignment with architecture frameworks and solution objectives
- Coordinating application, integration, and infrastructure activities across cloud and network architecture environments
- Coaching team members on cloud infrastructure design, testing approaches, and troubleshooting methods
- Identifying opportunities to improve delivery speed, application reliability, and technical delivery consistency
- Supporting client discussions on architecture decisions, platform tradeoffs, and modernization options
- Applying analytical thinking to resolve complex issues across cloud infrastructure, security, and deployment workflows
What You Must Have
- At least a Bachelor's degree
- At least 5 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
- Completing coursework or projects in AWS-native application development
- Developing full stack solutions using cloud infrastructure and architecture frameworks
- Demonstrating AI fluency within software design and testing
- Applying analytical thinking to platform troubleshooting and integration
- Coaching teammates while advancing client-focused delivery
- Managing complex technical workstreams across agile development cycles
The salary range for this position is: $99,000 - $232,000. 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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