AI Software Engineering Manager — Lead Transformations

PwC; New York (NY); On-site; USD 99,000 - 252,000; Full time

Benefits offered by this job

Annual discretionary bonus

Medical, dental, vision

401k

Paid time off

Job summary

PwC is seeking an AI Senior Developer Manager in our New York office to lead the design, coding and testing of innovative software solutions within the Assurance practice. You will coach and motivate a team of engineers to deliver high-quality products and oversee project planning, budgeting, and execution with integrity and transparency.

You will drive AI-enabled applications, including LLM integrations, RAG pipelines, and secure deployment practices, while guiding engineering quality and

Qualifications

• Bachelor's degree required; 4+ years of experience.
• Experience in AI-enabled software and modern development practices.

Responsibilities

• Leading development and implementation of innovative software solutions.
• Mentoring a team of software engineers to deliver quality software products.
• Designing, coding, and testing applications to enhance user experiences.
• Overseeing lifecycle management including planning, development and maintenance.
• Collaborating with cross-functional teams to address challenges.
• Implementing CI/CD practices to streamline deployment.
• Conducting code reviews and QA testing to maintain standards.
• Analyzing system components to optimize performance.
• Coaching and developing team members to raise capabilities.

Skills

AI-enabled apps

LLM integrations

RAG pipelines

CI/CD

API management

Education

Bachelor's degree

Tools

Observability

Model APIs

Data pipelines

Job description

PwC is seeking an AI Senior Developer Manager in our New York office to lead the design, coding and testing of innovative software solutions within the Assurance practice. You will coach and motivate a team of engineers to deliver high-quality products and oversee project planning, budgeting, and execution with integrity and transparency.

You will drive AI-enabled applications, including LLM integrations, RAG pipelines, and secure deployment practices, while guiding engineering quality and