Software Development Manager for AI Platforms

Infor; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

Infor in Atlanta, United States, seeks a Manager of Software Development to lead a team of engineers and QA, guiding roadmap delivery with a strong emphasis on code quality, architecture alignment, and hands-on support.

You will partner with product, architecture, scrum, and business analysis to clarify requirements, review designs, and drive sprint- and release-level delivery while mentoring staff and advancing AI governance capabilities.

Qualifications

• Experience managing a software engineering team, including hiring, performance support, and career development.

Responsibilities

• Lead, manage, and develop a team of software engineers and QA associates, including hiring and career development.
• Review code, technical designs, and implementation plans to support delivery quality and alignment with architecture guidance.
• Contribute directly through prototyping, pairing, troubleshooting, or removing blockers when needed.
• Own sprint- and release-level delivery for roadmap items within the team’s initiative area.
• Make technical trade-off decisions within established architecture and elevate cross-cutting platform decisions to the Software Architect.
• Support delivery of AI governance or platform features across capabilities like explainability and observability.
• Partner with the Scrum Master and Business Analyst to support team process and delivery readiness.

Skills

People management

Code review

Prototyping

AI coding tools

Python

Full-stack Angular

AWS cloud services

Tools

LangChain

LangGraph

Anthropic Claude API

MCP

Claude Code

AWS Kiro

OpenAI Codex

Job description

Infor in Atlanta, United States, seeks a Manager of Software Development to lead a team of engineers and QA, guiding roadmap delivery with a strong emphasis on code quality, architecture alignment, and hands-on support.

You will partner with product, architecture, scrum, and business analysis to clarify requirements, review designs, and drive sprint- and release-level delivery while mentoring staff and advancing AI governance capabilities.