AI Engineer Manager / AI Development Manager

Lead Carters’ enterprise AI Center of Excellence (CoE) as a player-coach, combining hands-on AI delivery with people leadership to ship, support, and scale high-impact AI capabilities.

Responsibilities

Manage the AI CoE development team (Junior/Mid AI Developers and intern developers), including

assignments, priorities, performance , and

career growth

Own

sprint planning

and drive

delivery execution

for the CoE build backlog, in partnership with the Solutions Manager’s intake and prioritization

Run

code and design reviews ; unblock developers and manage delivery risks and dependencies

Coordinate with Forward-Deployed Engineers so embedded builds follow CoE standards and hand back cleanly

Report

delivery status ,

capacity , and

velocity

to CoE leadership

Personally design and build the most complex and/or highest-stakes AI solutions, including

agentic workflows ,

LLM applications ,

skills , and

connector-based automations

Consult with business units and Forward-Deployed Engineers on

feasibility ,

approach , and

effort , turning ambiguous asks into buildable designs

Prototype new patterns (examples provided):

natural-language query over governed data ,

document generation ,

incident summarization

Harden successful pilots into

production

solutions

Serve as the

escalation point

for technical issues across CoE-supported solutions

Define and enforce development standards for AI solutions, including

coding practices ,

testing ,

documentation ,

versioning , and

release management

Curate the CoE

pattern library

of reusable, governed building blocks for business super users and champions

Partner with the

AI Security & Governance Manager

to ensure each building pass security review efficiently, including

access controls ,

data flows , and

prompt-injection safeguards

Mentor super developers in business units with

office hours

and

paired builds

that move prototypes into supported solutions

Requirements

7+ years

of software and/or data analytics development experience

2+ years

leading or managing developers, including

1+ years

building Generative AI (GenAI)/large language models (LLMs)-based solutions

Hands-on AI development experience shipping

LLM applications ,

agentic workflows , or

AI-powered automations

against enterprise systems and APIs

Proven experience with enterprise AI platforms and frameworks (examples provided):

Claude/Anthropic API ,

Azure OpenAI ,

MCP-style tool integrations ,

RAG architectures

Experience leading

sprint planning ,

backlog grooming , and

prioritization

processes with stakeholders to deliver critical features and meet strategic goals

Communication

strengths partnering with non-technical stakeholders, clarifying ambiguous needs, facilitating productive discussions, and providing clear, constructive, and empathetic feedback to developers

Delivery leadership

with an agile track record:

backlog management ,

code review discipline , and

predictable releases

Integration fluency

with enterprise data and platform integrations (examples provided): BI tools, cloud data warehouses, collaboration and ticketing systems

Bachelor’s degree

in Computer Science, Software Engineering, and/or a related field (or equivalent practical experience)

Technologies

Claude/Anthropic API

Azure OpenAI

MCP-style tool integrations

RAG architectures

Preferred Skills and Experience

Familiarity with

MLOps/LLMOps

practices: evaluation, monitoring, versioning, and cost management

Retail or consumer-products industry experience

Experience building cross-functional teams and supporting team development

Location:

Atlanta, GA (onsite)

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