AI Development Manager, GenAI & Enterprise Solutions

Carters; Atlanta (GA); On-site; USD 180,000 - 230,000; Full time

Job summary

Carter's is assembling an enterprise AI Center of Excellence (CoE) and seeks an AI Development Manager to lead the CoE build team, mentor developers, and deliver high-value AI solutions across the business. You will balance hands-on development with leadership, working on agentic workflows, LLM apps, and governance-aligned integrations.

You will partner with architecture and delivery leaders to ensure scalable, secure AI deployments and maturing patterns for reuse across the enterprise.

Qualifications

• At least 7+ years of software and/or data analytics development experience.
• At least 2+ years leading or managing developers including 1+ years building GenAI/LLMs-based solutions.
• Hands-on AI development with shipped LLM applications or AI-powered automations.
• Experience with enterprise AI platforms and frameworks (Claude/Anthropic API, Azure OpenAI, MCP integrations, RAG).
• Experience leading sprint planning, backlog grooming, and delivery with stakeholders.
• Bachelor's degree in Computer Science, Software Engineering, or related field.

Responsibilities

• Lead and mentor the AI CoE development team and align with business needs.
• Own sprint planning, backlog prioritization, and delivery of AI solutions.
• Provide hands-on design and code reviews for high-stakes AI projects.
• Collaborate with Solutions Manager and Tech & Platform Lead on architecture.
• Define development standards and build a reusable pattern library.

Skills

Team leadership

AI development

Agile delivery

Stakeholder collaboration

Code reviews

Mentoring

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Claude/Anthropic API

Azure OpenAI

MCP-style tool integrations

RAG architectures

Job description

Carter's is assembling an enterprise AI Center of Excellence (CoE) and seeks an AI Development Manager to lead the CoE build team, mentor developers, and deliver high-value AI solutions across the business. You will balance hands-on development with leadership, working on agentic workflows, LLM apps, and governance-aligned integrations.

You will partner with architecture and delivery leaders to ensure scalable, secure AI deployments and maturing patterns for reuse across the enterprise.