Fifth Third
AI & Machine LearningDirect Workday career site

AI Engineer - Automated Channels Transformation

Location
Cincinnati, OH · On-site
Job type
Full-time
Level
Director
Experience
6+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • Python
  • generative AI
  • retrieval-augmented generation (RAG)
  • AWS
  • LangChain

Also useful

  • LangGraph
  • Terraform
  • Docker
  • Semantic Kernel
  • model context protocol (MCP)

About the role

Make banking a Fifth Third better®

We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.

General Function

The Principal AI Engineer designs and builds artificial intelligence systems that address complex business challenges and deliver measurable value with a focus on agentic AI. This role functions as a forward-deployed engineer partnering with product owners, lines-of-business, engineering, security, risk, and compliance to identify high-impact opportunities, and deliver safe and effective agentic AI solutions.

This role focuses on AI for the Customer by using generative AI predominantly in AWS to deliver operational efficiency and superior customer experience. The Principal AI Engineer develops AI agents that leverage reasoning, planning, retrieval, and tools to complete complex tasks; establishes evaluation and documentation practices; monitors production performance; and produces evidence needed for governance.

This role communicates complex AI concepts, risks, opportunities, and recommendations clearly to technical teams, business stakeholders, and senior leaders while supporting the Bank’s business goals and remaining within risk appetite.

Essential Duties and Responsibilities

AI Development and Implementation

  • Design and build generative AI and/or agentic systems that solve business problems and deliver measurable value
  • Develop AI agents that use reasoning, planning, retrieval, and tool integration to complete complex tasks
  • Evaluate AI agents before and after their deployment to drive continuous improvement and ensure effectiveness of AI systems
  • Research, prototype, and apply emerging AI models, agent frameworks, orchestration patterns, and enterprise development practices

Analytics and Insights

  • Design and execute experiments to evaluate prompts, retrieval strategies, agent workflows, tool integrations, and user experience
  • Conduct data analysis to compare prompts, workflows, and tools across runtime, accuracy, and output quality; report results for governance processes; and quantify return on investment for AI solutions
  • Use supervised and unsupervised learning techniques to understand customer needs on the channels we support to inform decision making.
  • Define success metrics for each AI use case, such as containment, time to resolution, customer satisfaction, or sentiment.
  • Monitor agent performance in production, including latency, failure rates, tool-call success, escalation rates, retry behavior, and cost per interaction
  • Produce evidence for AI governance reviews, including evaluation results, control effectiveness, model/tool performance, and risk mitigation outcomes

Collaboration and Communication

  • Deliver complex AI projects and cross-team initiatives with limited supervision, ensuring solutions are integrated, scalable, and compliant
  • Serve as a technical authority for colleagues by influencing architectural decisions, and shaping engineering standards across products and platforms
  • Partner with product owners and line-of-business teams to understand day-to-day workflows, identify automation opportunities, and translate business needs into well-defined AI and agentic use cases with clear objectives, constraints, and success criteria
  • Educate technical teams, business stakeholders, and senior leaders on AI concepts, solution designs, recommendations, opportunities, and emerging trends through clear, practical guidance
  • Collaborate with software engineers, cloud engineers, data engineers, and data scientists to integrate AI solutions into existing systems and products
  • Work with compliance, security, and risk teams to ensure AI systems meet governance, regulatory, and responsible AI requirements before and after deployment

Education and Experience

  • 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 software or AI solutions in production environments

Technical Skills

  • Strong programming skills in Python, Typescript, Java, Go, or similar languages used for AI engineering and software development
  • Expertise in generative AI techniques, e.g. context engineering, LLM fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, model context protocol (MCP), loop/graph engineering, skills/open knowledge format, and agentic system design
  • Experience with cloud computing platforms, preferred (especially AWS)
  • Familiarity with prompt optimization, retrieval tuning, caching, and model selection to improve generative AI performance, latency, cost, and reliability
  • Knowledge of agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, Strands, Google ADK, Anthropic sdk, or OpenAI sdk

Engineering Practices

  • 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 preferred

Business and Soft Skills

  • Demonstrates curiosity and adaptability by quickly learning new skills, techniques, tools, and frameworks as AI technologies and business needs evolve.
  • Communicates clearly, builds consensus, and presents ideas effectively in written and verbal formats.
  • Promotes knowledge sharing and supports strong cross-team collaboration.
  • Uses sound analytical judgment to solve problems, prioritize competing demands, and work independently.
  • Works well in Agile environments and with standard business productivity tools.
  • Understands ethical considerations and responsible practices for AI deployment.
  • Must be willing to relocate to Cincinnati, OH
  • #LI-MB1
  • AI Engineer - Automated Channels Transformation

Pay and benefits

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.

LOCATION -- Cincinnati, Ohio 45202

Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes – no matter how they are submitted – will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.

Read the original posting

From Fifth Third's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the AI Engineer - Automated Channels Transformation job at Fifth Third located?

This AI Engineer - Automated Channels Transformation position at Fifth Third is located in Cincinnati, OH (On-site). Always check Fifth Third's application page for specific state eligibility or relocation policies.

What qualifications are required for AI Engineer - Automated Channels Transformation at Fifth Third?

For the AI Engineer - Automated Channels Transformation role, Fifth Third highlights 6+ years of relevant experience; a bachelor's degree; experience with Python, generative AI, retrieval-augmented generation (RAG), AWS, LangChain. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the AI Engineer - Automated Channels Transformation position at Fifth Third?

This listing links directly to Fifth Third's Workday application page. You can apply directly on Fifth Third's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.