below marketmost similar roles pay hereabove market
This role pays less than
62%
of similar roles. Most pay
$152,955–$231,325
— the blue band above.
At the midpoint, this role pays about
$176k
versus about
$192k
for comparable roles.
Based on 240 similar postings.
Employer
About PWC
PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting
PWC currently has
101 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 97 roles with salary data.
As an AIT - AI Senior Developer Manager within the Assurance practice, you will lead a team of software engineers to develop innovative software solutions driving digital transformation. Your daily responsibilities include designing, coding, and testing applications to enhance user experiences while overseeing the entire application lifecycle from planning and budgeting to execution and maintenance. You will mentor developers, conduct code reviews, and ensure software quality through Acceptance Test Driven Development methodologies. Technical requirements include building scalable AI-enabled applications using LLM integrations, RAG pipelines, model APIs, data pipelines, and secure deployment practices. You must demonstrate proficiency in CI/CD, API Management, Microservices, and Enterprise Application Integration. This role solves complex software engineering challenges by analyzing system component linkages to optimize performance and streamline software deployment.
Lead the development and implementation of innovative software solutions to drive digital transformation.
Manage and mentor a team of software engineers to deliver high-quality software products.
Design, code, and test applications to enhance user experiences and meet client needs.
Oversee the full application lifecycle including planning, budgeting, development, and maintenance.
Implement continuous integration and delivery (CI/CD) practices to streamline software deployment.
Conduct code reviews and quality assurance testing to maintain high software standards.
Analyze system components to identify linkages and interactions for optimized performance.
Build scalable AI-enabled applications using LLM integrations, RAG pipelines, and data pipelines.
What we're looking for
At least a Bachelor's degree.
At least 4 years of experience.
Building scalable AI-enabled applications using LLM integrations, RAG pipelines, model APIs, data pipelines, observability, testing, and secure deployment practices (preferred).
Guiding engineering quality by mentoring developers, reviewing designs and code, troubleshooting complex issues, and reinforcing best practices (preferred).
Utilizing Acceptance Test Driven Development (ATDD) methodologies (preferred).
Excelling in API Management and Application Development (preferred).
Demonstrating proficiency in Continuous Integration/Continuous Delivery (CI/CD) (preferred).
Leveraging skills in Business Process Improvement, Microservices, Enterprise Application Integration, and Software Project Management (preferred).
Python
Machine Learning
Deep Learning
Generative AI
Data Engineering
Data Pipelines
Data Lakes
Statistical Analysis
Predictive Modeling
Algorithms
Data Science
Model Validation
Data Preparation
Analytics Frameworks