PwC Logo

PwC

Senior Manager, AWS Full Stack AI Engineering

Posted 8 Hours Ago
Be an Early Applicant
Hybrid
5 Locations
124K-280K Annually
Senior level
Hybrid
5 Locations
124K-280K Annually
Senior level
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.
The summary above was generated by AI
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: 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 San Francisco, California, USA Office

405 Howard Street Suite 600, San Francisco, CA, United States, 94105

PwC San Jose, California, USA Office

488 Amaden Boulevard, San Jose, CA, United States, 95110

Similar Jobs at PwC

8 Hours Ago
Hybrid
5 Locations
99K-297K Annually
Mid level
99K-297K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads external audit support focused on ASC 740 income tax accounting and financial statement audit activities. Manages engagements, budgets, timelines, deliverables, work quality, and stakeholder communication. Reviews tax workpapers and financial reporting documentation, resolves complex issues, applies GAAP and GAAS, and coaches onshore and offshore teams. Uses technology and AI to improve audit quality and efficiency while maintaining professional standards, independence, and compliance.
Top Skills: AIAsc 740GaapGaas
8 Hours Ago
Hybrid
5 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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.
Top Skills: AWSCi/Cd
8 Hours Ago
Hybrid
5 Locations
155K-410K Annually
Expert/Leader
155K-410K Annually
Expert/Leader
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads AWS-native application engineering initiatives across architecture, development, testing, deployment, and modernization. Sets technical direction, oversees multiple delivery workstreams, guides AI-enabled engineering practices, and develops scalable cloud solutions. Builds executive client relationships, shapes transformation roadmaps, supports business development, mentors engineering teams, and drives application performance, security, reliability, and cloud modernization across AWS and other major cloud platforms.
Top Skills: AIAWSAzureCloud InfrastructureCloud VirtualizationGCP

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account