Principal AI Engineer – Automated Channel
Fifth Third Bank
full-time
Posted on:
Location Type: Office
Location: Cincinnati • North Carolina • Ohio • United States
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Job Level
About the role
- The Principal AI Engineer architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank.
- 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.
Requirements
- 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).
- 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.
- Excellent written and verbal communication skills.
- Self-motivated with demonstrated capacity to work independently.
Benefits
- Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningartificial intelligencedata analysisstatistical evaluationalgorithm developmentPythonJavaScriptSQLgenerative AIdeep learning
Soft skills
communicationstorytellingself-motivatedindependent work