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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in artificial intelligence engineering solutions, particularly in tax innovation, by leading client engagements and translating business needs into scalable technical designs. Proficient in machine learning, deep learning, and natural language processing, with a strong focus on developing Python-based solutions and mentoring teams.
Highest-signal resume keywords
Artificial Intelligence EngineeringMachine LearningNatural Language ProcessingPython DevelopmentCloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningNatural Language ProcessingData WranglingFeature DevelopmentModel TuningText AnalyticsText ExtractionSentiment AnalysisAI System Integration
Soft Skills
Client EngagementMentoringStrategic DirectionRelationship BuildingGovernance
Tools & Technologies
AWSGoogle CloudMicrosoft AzureDatabricksSnowflake
Certifications & Qualifications
Data Engineering CertificationMachine Learning CertificationCloud Platform Certification
Industry Keywords
Tax InnovationAI-Driven ServicesProfessional StandardsCode of ConductIndependence Requirements
Tech Stack
Tools & technologiesAWSAzureCloudOpen SourcePython
About the role
Key responsibilities & impact- Set strategic direction for artificial intelligence engineering solutions supporting tax innovation initiatives
- Lead client-facing AI engagements from concept through deployment
- Translate business needs into scalable technical approaches
- Design and implement machine learning, deep learning, and natural language processing models for tax and data use cases
- Oversee data wrangling, feature development, model tuning, and AI system integration into software platforms
- Develop Python-based solutions for text analytics, text extraction, and sentiment analysis workflows
- Advise on AI implementation approaches balancing technical feasibility, scalability, and business value
- Build executive relationships and identify opportunities for AI-driven services
- Promote responsible use of open source software and emerging AI technologies
- Mentor teams and shape technical direction across multiple initiatives
- Validate adherence to professional standards, code of conduct, and independence requirements
Requirements
What you’ll need- At least a Bachelor's degree
- At least 9 years of experience
- Preferred field of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering
- Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- AI engineering leadership in tax-focused client settings
- Experience applying machine learning and cloud platforms to client solutions
- Ability to translate tax requirements into AI-enabled technical designs
- Experience guiding teams through innovation, governance, and delivery choices
- Experience developing thought leadership on emerging tax automation approaches
- Ability to comply with professional standards, code of conduct, and independence requirements
- Ability to travel up to 20%
- Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as permitted by PwC policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave