Lead Software Engineer, Agentic AI Platform

Fifth Third Bank

Farmington Hills (MI)

On-site

USD 140,000 - 195,000

Full time

14 days+

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Job summary

Fifth Third Bank seeks a Lead Software Engineer for its Agentic Engineering team in Farmington Hills, MI. You will own the execution of a meaningful part of the agent platform, drive designs, mentor engineers, and deliver production-grade software with a strong emphasis on reliability and observability.

You will spend most of your time writing code, prototyping hard problems, and ensuring agents stay accurate, cost-efficient, and within guardrails while collaborating with multi-disciplinary

Qualifications

  • 6+ years of software engineering experience.
  • Strong proficiency in Python and/or TypeScript.
  • Track record of shipping systems that run in production.
  • Experience leading technical delivery and mentoring engineers.
  • Experience building agentic or multi-step automated systems is a plus.

Responsibilities

  • Lead the technical delivery of a workstream from prototype to production.
  • Set and uphold engineering standards for patterns, tooling, testing and observability.
  • Build the agent platform hands-on, including shared services and protocols.
  • Spend substantial time coding, prototyping hard problems, and pairing with engineers.
  • Ensure agents are reliable, cost-efficient, and stay within guardrails over time.
  • Mentor and review designs and code, helping engineers overcome tough problems.

Skills

Python
TypeScript
Leadership
Mentoring engineers
Production systems
Observability

Tools

AWS
GCP
Azure
Terraform
GitHub

Job description

Fifth Third Bank seeks a Lead Software Engineer for its Agentic Engineering team in Farmington Hills, MI. You will own the execution of a meaningful part of the agent platform, drive designs, mentor engineers, and deliver production-grade software with a strong emphasis on reliability and observability.

You will spend most of your time writing code, prototyping hard problems, and ensuring agents stay accurate, cost-efficient, and within guardrails while collaborating with multi-disciplinary

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