GenAI

Connvertex TechnologiesAtlanta, GA

About The Position

The AI Platform team is responsible for building and supporting enterprise AI capabilities. They are not building business use cases or AI solutions directly. Their role is to build and maintain AI platform infrastructure, enable other teams to consume AI capabilities, support cloud-based AI services, establish platform standards and controls, and scale AI capabilities across the enterprise.

Requirements

  • Strong infrastructure experience
  • Cloud platforms experience
  • Platform engineering experience
  • Infrastructure automation experience
  • Infrastructure-as-Code experience
  • Enterprise-scale deployments experience
  • AWS experience
  • Terraform experience
  • Infrastructure provisioning experience
  • Infrastructure automation experience
  • Comfortable writing IaC
  • Comfortable maintaining IaC
  • Comfortable troubleshooting IaC
  • Kubernetes experience
  • Container orchestration experience
  • Experience with EKS
  • Experience with AKS
  • Experience participating in technical discussions
  • Experience working with multiple teams
  • Experience influencing without authority
  • Experience explaining technical concepts
  • Experience functioning in a highly collaborative environment
  • Comfortable writing technical documentation
  • Comfortable creating design documents
  • Comfortable supporting architecture reviews
  • Comfortable explaining design decisions
  • 5-7+ years of engineering experience
  • Experienced contributors
  • Independent problem solvers
  • Individuals who require minimal hand-holding

Nice To Haves

  • Azure experience
  • Generative AI concepts understanding
  • Large Language Models understanding
  • AI infrastructure understanding
  • RAG frameworks knowledge
  • Agentic frameworks knowledge
  • AWS Bedrock experience
  • OpenSearch familiarity
  • Kendra familiarity
  • AgentCore awareness or experience

Responsibilities

  • Build and maintain AI platform infrastructure
  • Enable other teams to consume AI capabilities
  • Support cloud-based AI services
  • Establish platform standards and controls
  • Scale AI capabilities across the enterprise
  • Participate in technical discussions
  • Work with multiple teams
  • Influence without authority
  • Explain technical concepts
  • Function in a highly collaborative environment
  • Writing technical documentation
  • Creating design documents
  • Supporting architecture reviews
  • Explaining design decisions
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