Principal AI Engineer – AI Transformation

Fifth Third Bank

Principal AI Engineer designing and implementing AI and machine learning systems at Fifth Third Bank. Focus on research and experimentation of generative AI models and agentic systems.

Posted 7/17/2026full-timeCincinnati • North Carolina, Ohio, Texas • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning and AI solutions, with strong proficiency in Python and experience in generative AI techniques. Capable of translating complex business challenges into analytical frameworks and leading cross-functional projects with effective communication and collaboration.

Highest-signal resume keywords

Machine Learning Solutions DevelopmentGenerative AI TechniquesCloud Computing Platforms (AWS)Data Visualization and StorytellingAgile Project Management

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingMachine Learning Frameworks (PyTorch, scikit-learn, Hugging Face)Deep Learning and Neural NetworksModel Optimization TechniquesAI Orchestration Frameworks (LangChain, LlamaIndex)Data Analysis and Statistical EvaluationAlgorithm DevelopmentVersion Control Systems (Git/GitHub)Containerization (Docker)Infrastructure as Code (Terraform)

Soft Skills

Analytical ThinkingProblem-Solving AbilitiesEffective CommunicationMentoring and Knowledge SharingTime Management

Tools & Technologies

AWS BedrockAWS SagemakerAWS LexMicrosoft Office SuiteCI/CD Pipelines

Industry Keywords

Artificial IntelligenceMachine LearningData ScienceEthical AI DeploymentAgile Environments

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptPythonPyTorchScikit-LearnSQLTerraform

About the role

Key responsibilities & impact

Architect and implement artificial intelligence and machine learning systems addressing diverse business challenges throughout the Bank
Conduct rigorous data analysis and perform statistical evaluation
Design experimental frameworks and develop algorithms leveraging both structured and unstructured data
Create on-demand analytics to fully integrated software systems
Stay apprised of and educate leaders on emerging AI trends, risks, and opportunities
Create and maintain model documentation for transparency
Research, test, and apply state-of-the-art generative AI models and/or solutions
Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization
Create evaluation frameworks to assess model performance
Translate business questions into analytical problems with clear objectives
Lead projects with limited supervision, influencing technical direction and standards
Partner with cross-functional teams to understand business requirements and translate into technical solutions

Requirements

What you’ll need

Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related technical field; Advanced degree preferred but not required
6+ years of experience developing and deploying machine learning or AI solutions in production environments
Strong programming skills with proficiency in Python; familiarity with JavaScript and SQL
Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, tool integration, and agentic system design
Experience with cloud computing platforms (AWS preferred, specifically Bedrock, Sagemaker, Lex, etc.)
Skilled in data visualization and storytelling, effectively communicating complex analytical insights in clear, actionable formats for technical and non-technical audiences
Experience with machine learning frameworks (PyTorch, scikit-learn, Hugging Face)
Practical knowledge of deep learning, neural networks, and traditional ML algorithms
Familiarity with model optimization techniques including quantization and distillation
Knowledge of AI orchestration frameworks (LangChain, LlamaIndex, MCPs, etc.)
Proficiency with version control systems (Git/GitHub)
Understanding of CI/CD pipelines and DevOps practices
Experience with containerization and Infrastructure as Code (Docker, Terraform)
Knowledge of data structures, algorithms, and software design principles
Experience designing observability systems for AI applications
Communicates clearly and builds consensus across teams
Mentors colleagues and promotes knowledge sharing
Excellent written and verbal communication skills
Strong analytical thinking and problem-solving abilities
Ability to manage time effectively and prioritize competing demands
Self-motivated with demonstrated capacity to work independently
Experience working in Agile environments
Proficiency with Microsoft Office suite (Word, Excel, PowerPoint)
Understanding of ethical considerations in AI deployment

Benefits

Comp & perks

Comprehensive benefits programs support individual needs of employees and families
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities
Incentive compensation plan based on performance