Job description

The Opportunity As a Senior Manager, AWS Full Stack AI Engineering you will lead multidisciplinary teams in designing, building, testing, and maintaining AI-enabled applications across the software development lifecycle, within our Advisory practice. As a Senior Manager you will lead large projects, apply sound judgment in complex situations, and use your technical and business knowledge to guide teams, shape delivery approaches, and support client conversations at a strategic level. In this role at PwC, you will help shape cloud-native solutions on AWS, modernize legacy applications, and bring together architecture, development, testing, and deployment activities across technology stacks, programming languages, and tools. Responsibilities - Leading AWS full stack AI engineering initiatives from discovery through delivery across cloud-native application and testing workstreams - Designing scalable application and solution architectures that combine AI native techniques, AWS services, and modern development patterns - Guiding technical teams through requirements definition, architecture planning, build activities, and validation for greenfield and modernization efforts - Advising clients on platform engineering choices, integration patterns, and cloud infrastructure tradeoffs that shape delivery outcomes - Coordinating architecture reviews across security, network design, infrastructure, and cloud service considerations - Translating business objectives into technical roadmaps that connect software design, testing strategy, and deployment readiness - Applying AI fluency and analytical thinking to identify opportunities for rapid experimentation and process improvement - Evaluating application performance, reliability, and security issues across the full software development lifecycle - Developing client-ready communications that explain technical decisions, risks, and delivery options clearly - Coaching teams to solve complex engineering problems while maintaining operational excellence across multiple workstreams What You Must Have - At least a Bachelor's degree - At least 7 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 experience leading AWS-native development and testing initiatives - Leveraging cloud engineering knowledge across architecture and platform delivery - Applying AI fluency to modern application and solution architecture - Translating business needs into scalable, cloud-based technical designs - Communicating clearly with clients and diverse stakeholders through complexity The salary range for this position is: $124,000 - $280,000. 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: pwc.to 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: pwc.to. Learn more about how we work: pwc.to 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: pwc.to

Requirements

Must-haves

Leading AWS full stack AI engineering initiatives from discovery through delivery across cloud-native application and testing workstreams
Designing scalable application and solution architectures that combine AI native techniques, AWS services, and modern development patterns
Guiding technical teams through requirements definition, architecture planning, build activities, and validation for greenfield and modernization efforts
Advising clients on platform engineering choices, integration patterns, and cloud infrastructure tradeoffs that shape delivery outcomes
Coordinating architecture reviews across security, network design, infrastructure, and cloud service considerations
Translating business objectives into technical roadmaps that connect software design, testing strategy, and deployment readiness
Applying AI fluency and analytical thinking to identify opportunities for rapid experimentation and process improvement
Evaluating application performance, reliability, and security issues across the full software development lifecycle
Developing client-ready communications that explain technical decisions, risks, and delivery options clearly
Coaching teams to solve complex engineering problems while maintaining operational excellence across multiple workstreams
What You Must Have
At least a Bachelor's degree
At least 7 years of experience
What Sets You Apart
Demonstrating experience leading AWS-native development and testing initiatives
Leveraging cloud engineering knowledge across architecture and platform delivery
Applying AI fluency to modern application and solution architecture
Translating business needs into scalable, cloud-based technical designs
Communicating clearly with clients and diverse stakeholders through complexity

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsai

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k