
Professional Services · 298k people
Senior Manager, AWS Full Stack AI Engineering
Posted 19 Oct
What’s this role about? Lead multidisciplinary teams delivering AWS-based, AI-enabled applications across discovery, architecture, development, testing, and deployment. Advise clients on cloud and platform decisions, translate business objectives into technical roadmaps, and coach teams to deliver secure, reliable solutions.
Skills required
Tap the ones you have
Want to get this job faster?
Apply with AI
No more application formsOur AI fills them in and submits them for you. You just pick the jobs.
Find hiring manager
Reach the person hiringEmail the person behind the job, not the inbox.
Company
About PwC At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com. PwC: Audit and assurance, consulting and tax services PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
PwC

Responsibilities
- 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.
- 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
Qualification
- At least 7 years of experience
- 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
- Up to 80%
- Job Posting End Date
- 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: https://pwc.to/benefits-at-a-glance
- 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
- 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
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday Pay
- Vacation
- Personal and Family Sick Leave
- Annual Discretionary Bonus
Interested in this role?
Recommended jobs
- U

Software Engineering Manager
University of Chicago·Chicago
$130K – $170KOn-siteFull-time5-10 years expSkills required
Software engineering managementTeam leadershipPython - A

Data Engineering, Management, & Governance Manager - Finance
Accenture·St. Louis
$80.4K – $293.8KHybridFull-time5-10 years expSkills required
Data engineeringData governanceCloud architecture - Q

Development Project Manager (Electrical Engineering)
QTS Data Centers·Chicago
$123.3K – $188.6KOn-siteFull-time5-10 years expSkills required
Electrical engineeringProject managementData center design