AI Engineer: Automated Channels Transformation

Fifth Third

Cincinnati, Northern (OH, KY)

Hybrid

USD 160,000 - 210,000

Full time

14 days+
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Job summary

Fifth Third Bank in Cincinnati, OH seeks a Principal AI Engineer to design and implement agentic AI systems and AI-powered customer experiences. You will partner with product owners, engineering, and risk teams to deliver high-impact AI solutions with governance and safety in mind.

Responsibilities include building AI agents with planning, retrieval, and tool integration, evaluating models, and driving measurable improvements in efficiency and customer outcomes.

Qualifications

  • Bachelor's degree in a technical field and 6+ years in software or AI production work.
  • Strong programming in Python, Typescript, Java, or Go.
  • Experience with generative AI, RAG, and evaluation frameworks.
  • Familiarity with cloud platforms, preferably AWS.
  • Knowledge of CI/CD and DevOps practices.

Responsibilities

  • Design and build generative AI and agentic systems that solve business problems.
  • Develop AI agents using reasoning, planning, retrieval, and tool integration.
  • Evaluate AI agents pre- and post-deployment for ROI and safety.
  • Collaborate with product teams to identify automation opportunities.
  • Monitor production performance, latency, costs, and reliability.
  • Provide governance documentation and risk mitigation evidence.

Skills

Python
Typescript
Java
Go
Docker
Terraform
Git/GitHub
LangChain
AWS
CI/CD

Education

Bachelor's degree in CS, Stats, Data Science, Math, or related field

Tools

LangChain
LangGraph
LlamaIndex
Semantic Kernel
OpenAI SDK
Anthropic SDK
Git
Docker
Terraform
AWS

Job description

Fifth Third Bank in Cincinnati, OH seeks a Principal AI Engineer to design and implement agentic AI systems and AI-powered customer experiences. You will partner with product owners, engineering, and risk teams to deliver high-impact AI solutions with governance and safety in mind.

Responsibilities include building AI agents with planning, retrieval, and tool integration, evaluating models, and driving measurable improvements in efficiency and customer outcomes.

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