Senior Associate, Full Stack AI Engineer — AWS
About The Position
As a Senior Associate, Full Stack AI Engineer — AWS, you will design, build, and test cloud-native applications using AWS services, modern engineering practices, and AI-enabled methods across the software development lifecycle. You will analyze complex problems, manage assigned workstreams, mentor junior team members, and build client relationships while navigating ambiguity and developing your technical skills within PwC’s Advisory practice. You will contribute to AWS-native development and testing, support architecture and implementation activities, interpret feedback to refine deliverables, and help deliver solutions aligned with client needs across cloud engineering, data, and analytics initiatives.
Requirements
- At least a bachelor's degree.
- At least 3 years of experience.
Nice To Haves
- Preference for study in at least one of these fields: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Design/Multimedia, Engineering, Operations/Supply Chain, or Project/Technology Management.
- Demonstrating AWS-native application development across build and test phases.
- Applying full stack engineering skills within cloud delivery environments.
- Using AI-native engineering methods for requirements, architecture, and testing.
- Translating business needs into software across technology stacks.
- Navigating ambiguity while mentoring junior team members.
Responsibilities
- Develop full stack applications on AWS using cloud-native services, CI/CD practices, and modern engineering methods.
- Translate client needs into technical solutions across architecture, design, build, and test phases of delivery.
- Analyze complex application and platform issues and troubleshoot defects and performance bottlenecks.
- Build scalable cloud infrastructure and integration patterns supporting legacy-system modernization and greenfield development.
- Implement testing approaches across the software development lifecycle to validate functionality, security, and reliability.
- Apply AI-enabled engineering techniques to accelerate requirements definition, solution design, and delivery activities.
- Review work products and mentor junior team members on coding, design, testing, and delivery methods.
- Collaborate with architecture and engineering teams to shape solution decisions and align technical choices with project objectives.
Benefits
- Annual discretionary bonus.
- Medical, dental, and vision benefits.
- 401(k).
- Holiday pay.
- Vacation.
- Personal and family sick leave.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
