AIT AI Developer Senior Associate

PwC•Tampa, FL

6d•$72,000 - $212,000

About The Position

As a Senior Associate AIT AI Developer, you will develop software solutions within PwC’s Software and Product Innovation practice using software engineering methods to design, code, test, and refine applications that support client needs and business performance. You will analyze complex problems, manage assigned workstreams, build client connections, guide junior team members, navigate ambiguity, and deepen your technical skills and business context. You will use modern development tools and methodologies, interpret feedback, apply critical thinking, and contribute deliverables aligned with project objectives and client service expectations. The role focuses on AI-enabled software solutions for Assurance technology platforms and client service applications. It involves developing application components with Python and APIs, integrating AI capabilities into software workflows, and building scalable features using cloud, DevOps, and CI/CD tools. Travel may be required up to 20%.

Requirements

Bachelor's degree or higher.
At least 2 years of experience.

Nice To Haves

AI development experience supporting software engineering engagements.
Experience developing production-ready AI-enabled software solutions using Python, API integrations, LLM application development, prompt engineering, RAG patterns, and cloud-based AI services.
Experience integrating AI models into applications while applying secure coding, testing, version control, and software development best practices.
Python and API development skills for scalable applications.
Experience applying CI/CD, testing, and code review practices.
Ability to interpret data into insights and recommendations.
Experience translating client needs into technical deliverables.
Growing understanding of AI-human collaboration and application design.

Responsibilities

Develop AI-enabled software solutions that support Assurance technology platforms and client service applications.
Design, code, and test application components using Python, APIs, and modern software engineering methods.
Integrate AI capabilities into software workflows to improve automation, reliability, performance, and maintainability.
Review code, apply coding standards, and troubleshoot defects across the application lifecycle.
Build and maintain scalable software features using cloud, DevOps, and continuous integration and continuous delivery tools.
Interpret business requirements and translate them into technical designs aligned with broader project objectives.
Collaborate with team members to analyze complex problems, resolve issues, and adjust solutions as priorities change.
Guide junior team members through technical questions, feedback, and day-to-day development activities.
Document technical decisions, development progress, and testing results to support delivery transparency.