Principal AI Engineer - AI Transformation
Listed on 2026-07-13
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Principal AI Engineer - AI Transformation
At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.
The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.
Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well‑being. You can learn more about those programs on our Careers page at: or by consulting with your talent acquisition partner.
General FunctionThe Principal AI Engineer architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank, with a strong focus on research and experimentation of generative AI models and agentic systems. This role involves conducting rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data. The AI Engineer creates solutions that range from on‑demand analytics to fully integrated software systems, working closely with cross‑functional teams to align technical solutions with business requirements.
Staying apprised and educating senior leaders on emerging AI trends, risks, and opportunities.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
Essential Duties and Responsibilities AI Development and Implementation- Design, develop, and implement AI and machine learning systems that address specific business challenges and deliver measurable value.
- Create and maintain model documentation, ensuring transparency in methodologies and approaches.
- Research, test, and apply state‑of‑the‑art generative AI models and/or solutions for potential use.
- Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization for complex task completion.
- Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ensure output quality.
- Stay current with emerging AI/ML technologies, frameworks, and methodologies.
- Contribute to establishing best practices for AI development and deployment.
- Sets enterprise‑wide technical standards by defining reference architectures, chairing design reviews, and approving model lifecycle gates (e.g., data sourcing, bias audits, drift monitoring).
- Extract meaningful patterns and insights from complex, multi‑dimensional data sets.
- Apply advanced analytics including predictive modeling, machine learning, and optimization techniques.
- Translate business questions into well‑defined analytical problems with clear objectives.
- Design and execute experiments with statistically valid methodologies and evaluation criteria.
- Develop specialized analytics for banking‑specific use cases while maintaining compliance with financial regulations.
- Leads projects or processes with limited supervision, applying advanced knowledge to solve complex problems.
- Acts as a resource for colleagues, influencing technical direction and standards across multiple products or platforms.
- Drives…
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