Director, AI Engineering & Agentic Solutions

Coca-Cola HBC

Atlanta (GA)

On-site

USD 171,000 - 198,000

Full time

4 days ago
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Benefits offered by this job

Medical benefits
Financial benefits

Job summary

The Coca-Cola Company in Atlanta is seeking a Director of Applied AI & Agentic Solutions to lead, mentor, and scale AI engineering across a portfolio of digital products. You will drive adoption of enterprise AI standards, partner with product and data science teams, and translate strategy into concrete delivery roadmaps.

You will guide architecture, production deployment, MLOps/LLMOps practices, and governance to deliver measurable business impact while advancing AI engineering maturity across

Qualifications

  • Bachelor's or Master's degree in a technical field related to AI/Software Engineering.
  • 8+ years of experience in software/AI engineering and leadership.
  • Proven ability to deliver production AI solutions including generative AI and ML systems.

Responsibilities

  • Lead delivery and adoption of AI engineering across multiple digital products.
  • Manage and develop AI engineering teams with coaching and direction.
  • Partner with product, data science, and engineering leaders to prioritize high-value AI solutions.
  • Translate enterprise AI strategy into actionable roadmaps and plans.
  • Establish and enforce engineering standards, reusable frameworks, and operational best practices.

Skills

Agile Methodology
Application Development
Business Processes
Business Value Creation
Change Management
Influencing
Microsoft Azure
Microsoft Office
Negotiation
Process Improvement Plans
Risk Mitigation Strategies
Software Development
Software Development Life Cycle (SDLC)
Strategic IT
Vendor Management
Waterfall Model

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Azure

Job description

The Coca-Cola Company in Atlanta is seeking a Director of Applied AI & Agentic Solutions to lead, mentor, and scale AI engineering across a portfolio of digital products. You will drive adoption of enterprise AI standards, partner with product and data science teams, and translate strategy into concrete delivery roadmaps.

You will guide architecture, production deployment, MLOps/LLMOps practices, and governance to deliver measurable business impact while advancing AI engineering maturity across

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