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About the Role
As an AI Engineer, you will develop software solutions that support digital transformation and improve business performance within our Internal Firm Services practice. You will analyze complex problems, manage assigned workstreams, guide junior team members, and apply critical thinking to design, code, test, and support applications using modern engineering methods and technology resources. You will contribute to software innovation efforts, interpret data to inform recommendations, and build applications that align with broader business objectives while strengthening your technical skills and professional brand.
Responsibilities
- Designing and developing AI-enabled software solutions that support internal technology initiatives and digital transformation efforts
- Building scalable applications and services using programming languages, frameworks, and software engineering methods
- Applying AI fluency to integrate machine learning tools, automate workflows, and support human review of model outputs
- Translating business requirements into technical designs, user stories, and functional specifications for assigned workstreams
- Writing, reviewing, and refining code to align with coding standards, maintainability goals, and application lifecycle practices
- Testing, debugging, and troubleshooting software components to resolve defects and improve application reliability
- Evaluating data patterns and system behavior to inform solution improvements and implementation decisions
- Contributing to API design, microservices development, and cloud-native architecture for enterprise applications
- Reviewing deliverables from junior team members and providing guidance on technical methods, quality controls, and problem resolution
- Building relationships with internal stakeholders to understand priorities, clarify requirements, and adapt delivery as needs change
Requirements
- At least a Bachelor's degree or, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in Software Engineering for each missing year of college is required
- At least 2 years of experience
Skills
- AI engineering skills in Python, Java, or JavaScript
- Machine learning methods
- CI/CD, testing, and code review practices
- Analyzing data to inform recommendations and technical decisions
- Collaborating across teams, mentoring peers, and managing ambiguity
Location
- Up to 20% travel
Work Type
- Full-time
Experience Level
- Senior Associate
Education Level
- Bachelor's degree
Salary/Compensations
- $55,000 - $151,470
- $55,000 - $187,000 for Washington state residents
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
About the Company
- PwC is an equal opportunity employer.
- Learn more about how we work: https://pwc.to/how-we-work
Equal Opportunity
- 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.
- 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.