- Company Name
- Schneider Downs
- Job Title
- AI Engineer, Digital Transformation
- Job Description
-
**Job Title:** AI Engineer, Digital Transformation
**Role Summary**
Lead the development and implementation of AI and digital solutions to enhance audit, tax, and advisory services while improving operational efficiency and organizational growth. Collaborate cross-functionally to deliver client and employee-facing technologies aligned with strategic goals.
**Expectations**
- Drive AI initiatives as part of Digital Transformation and IT teams.
- Develop AI/ML models, NLP systems, and intelligent automation for financial workflows.
- Integrate AI systems with ERP and accounting software.
- Ensure compliance, data governance, and security for sensitive financial data.
- Research emerging AI technologies and lead pilot programs for innovation.
**Key Responsibilities**
- Design, develop, and deploy AI/ML models to automate workflows, analyze risks, and forecast financial trends.
- Build NLP systems for financial document analysis, contract review, and client communication.
- Implement predictive models for anomaly detection, fraud prevention, and tax strategy optimization.
- Collaborate with accounting teams to translate business needs into technical solutions.
- Integrate AI systems with audit platforms, tax software, and ERP systems.
- Conduct API development, prompt engineering, and agentic AI solutions.
- Evaluate AI technologies through proof-of-concept projects and build-vs-buy analyses.
**Required Skills**
- Proficiency in Python, R, or similar programming languages.
- Experience with ML frameworks (TensorFlow, PyTorch), Hugging Face, and NLP.
- Azure cloud expertise: Azure AI, ML, Copilot, Fabric, PowerBI, Power Automate, OpenAI.
- Data engineering skills including ETL, database management, and API integration.
- Experience with GenAI LLMs (ChatGPT, Claude, Gemini) and API-driven deployment.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field.
- Minimum 5 years as a developer/data scientist; 2+ years deploying AI solutions in professional settings.
Pittsburgh, United states
Hybrid
Mid level
07-09-2025