Lead Software Engineer-AI

Georgia-Pacific is seeking a hands-on technical leader to design, build, and operate AI-powered applications—primarily computer vision solutions—deployed across more than 100 manufacturing facilities to support critical operational outcomes.

About the team

This team creates sustainable value and competitive advantage by leveraging advanced analytics, AI, and actionable insights across the enterprise, with a strong focus on manufacturing outcomes and future-forward innovation. The role works closely with data scientists, product partners, and manufacturing teams to deliver scalable, real-world AI solutions.

Responsibilities

• Lead the development, deployment, and operation of AI applications that support manufacturing operations across more than 100 facilities
• Provide technical leadership and architectural guidance for cloud and edge-based AI solutions, deployed in Kubernetes/EKS environments
• Partner with data scientists, engineers, and product managers to deliver new AI products and enhance existing capabilities
• Develop high-quality, production-ready code using modern AI, data, and analytics technologies
• Mentor and coach engineers through design reviews, code reviews, and hands-on technical leadership
• Drive continuous improvement by addressing technical debt and establishing best practices for system design, reliability, performance, and scalability
• Invest in continuous learning while fostering the technical growth and development of the team

Requirements

• 6+ years of software engineering experience building and operating distributed systems, including technical design and delivery responsibilities
• Experience leading technical design, architecture decisions, or software delivery teams
• Experience developing, deploying, or supporting machine learning, computer vision, AI, or data-driven applications
• Professional experience in Python, SQL, Docker, and Bash scripting
• Experience building and deploying containerized applications using Kubernetes (EKS) and/or AWS ECS
• Experience with AWS services such as Lambda, EC2, ECS, EKS, S3, and IAM
• Experience with data streaming technologies such as Kafka, NATS, MQTT, or similar platforms
• Experience using Infrastructure-as-Code tools such as Terraform and Helm
• Knowledge of data structures, algorithms, and system design

Preferred Qualifications

• Experience with edge computing architecture and hybrid cloud deployments
• Bachelor’s or Master’s degree in computer science, engineering, or a related field
• Experience deploying and operating applications on edge devices
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or Splunk

Benefits

• Medical, dental, and vision coverage
• Flexible spending and health savings accounts
• Life insurance, ADD, and disability coverage
• Retirement savings plan
• Paid vacation and time off
• Educational assistance
• Infertility assistance, paid parental leave, and adoption assistance (eligibility criteria apply)

Specific eligibility criteria is set by the applicable Summary Plan Description, policy, or guideline, and benefits may vary by geographic region.

Pay

Compensation is determined by available market data and considers each candidate’s knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter.