Senior AI Engineer

Senior AI Engineer – Enterprise AI Platform Team

Location:

USA, Louisville, KY.

Work closely with Senior Software Engineers and Principal Architects to design, build, and operate core AI platform services that enable secure, scalable, and reliable AI agents and applications.

Develop, test, and maintain backend services supporting AI agent execution, orchestration, and tool integration; implement RESTful and event‑driven APIs that allow agents to interact with enterprise systems securely and auditable.

• Contribute to a centralized tool gateway/mediation layer used by AI agents.
• Integrate enterprise data platforms, APIs, and services through well‑defined contracts and interfaces.
• Deploy and operate services on AWS and Google Cloud focusing on reliability, scalability, and security.
• Define and follow best practices for containerization and orchestration (Docker, Kubernetes, Helm).
• Establish, maintain, and improve CI/CD pipelines and infrastructure‑as‑code workflows.
• Implement logging, metrics, tracing, and alerts to ensure platform observability.
• Participate in incident response, troubleshooting, and root cause analysis for platform services.
• Mentor junior engineers through code reviews, pairing, and technical guidance.
• Collaborate cross‑functionally with AI engineers, data engineers, security teams, and product partners.
• Participate in Agile ceremonies, including sprint planning, stand‑ups, retrospectives, and backlog grooming.

• Bachelor’s degree in computer science, software engineering, or a related field.
• 5+ years of experience in backend software engineering, cloud engineering, or platform development.
• Strong expertise in Python programming.
• Hands‑on experience building and operating services on AWS and/or Google Cloud.
• Solid understanding of microservices architecture, RESTful APIs, and event‑driven systems.
• Experience with SQL and No
  
  SQL databases (e.g., PostgreSQL, DynamoDB, MongoDB).
• Experience with Dev Ops tools and practices, including Git Hub, CI/CD pipelines, Docker, Kubernetes, and Terraform.
• Ability to independently own and deliver engineering tasks and small projects.
• Experience working in Agile/SCRUM teams.
• Strong problem‑solving skills and ability to work in complex systems.

• Exposure to AI/ML platforms, LLM‑based systems, or agent frameworks.
• Experience building or integrating API gateways or mediation layers.
• Experience with messaging and streaming systems (Kafka, Kinesis, Pub/Sub).
• Familiarity with serverless architectures (AWS Lambda, Google Cloud Functions).
• Knowledge of cloud security best practices (IAM, encryption, secrets management).
• Experience with observability tools such as Prometheus, Grafana, or ELK.
• Prior experience mentoring junior engineers or acting as a technical lead on small initiatives.

GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Appliances participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S. If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e‑mail to as