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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI engineering initiatives, particularly in tax technology, by translating client needs into scalable machine learning solutions using Python, deep learning, and natural language processing. Proven ability to manage complex delivery scenarios and guide teams through ambiguity while ensuring compliance with firm policies and client service objectives.
Highest-signal resume keywords
AI Engineering LeadershipMachine Learning DevelopmentPython ProgrammingNatural Language ProcessingData Pipeline Construction
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 WranglingModel ValidationAI Solution DevelopmentTechnical Narrative CraftingExperimentation and Model TestingProcess ImprovementClient-Facing Delivery
Soft Skills
Decision MakingCoachingCross-Functional Team DirectionCommunicationJudgment
Tools & Technologies
AWSGoogle CloudMicrosoft AzureDatabricksSnowflake
Certifications & Qualifications
Data Engineering CertificationMachine Learning CertificationCloud Platform Certification
Industry Keywords
Tax TechnologyAI-Driven TransformationService Delivery ImprovementAnalyticsData Science
Tech Stack
Tools & technologiesAWSAzureCloudOpen SourcePython
About the role
Key responsibilities & impact- Lead AI engineering workstreams for tax technology initiatives
- Translate client needs into scalable machine learning and software solutions
- Design and implement AI systems using Python, deep learning, and natural language processing
- Build data pipelines and wrangle structured and unstructured data
- Validate model inputs for production environments
- Identify opportunities for process improvement and AI-driven transformation in tax service delivery
- Direct teams through ambiguity and complex delivery scenarios
- Make timely decisions on technical issues and delivery risks
- Craft technical narratives and present findings, tradeoffs, and recommendations to clients and internal stakeholders
- Guide experimentation, model testing, and iteration
- Coach team members on AI implementation methods, open source tools, and responsible machine learning
- Align solutions with firm policies, independence requirements, and client service objectives
- Oversee multiple workstreams and contribute to technical design and implementation
Requirements
What you’ll need- At least a Bachelor's degree
- At least 7 years of experience
- Preference for study in 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
- Experience developing AI solutions for tax workflows and service delivery improvement
- Experience applying Python, machine learning, and NLP in client-facing delivery
- Ability to translate complex data findings into concise leadership messages
- Ability to direct cross-functional teams through ambiguity with sound judgment
- Ability to comply with firm policies and independence requirements
- Up to 20% travel
- 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