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 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 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
Design and implement cloud security controls across IaaS, PaaS, and SaaS environments. Conduct risk assessments, vulnerability reviews, security testing, and threat monitoring; support remediation of vulnerabilities and control gaps; document technical findings and requirements; advise clients on cloud security improvements; collaborate with technical teams; mentor junior staff; and build client relationships within PwC’s Advisory practice.
Top Skills:
Cloud ArchitectureCloud SecurityIaasPaasSaaSSecurity ControlsSecurity MonitoringVulnerability Testing
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports cyber incident response by triaging alerts, analyzing logs and endpoint data, conducting forensic investigations, assisting containment and recovery, updating playbooks, monitoring SOC workflows, tracking remediation, and communicating technical findings to teams and clients.
Top Skills:
CybersecurityDigital ForensicsIncident ResponseSecurity Operations Center (Soc)Threat IntelligenceVulnerability Assessment
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
