AI Engineering Lead - Enterprise AI & Secure Systems

Kaleidoscope

Charlotte (NC)

On-site

USD 180,000 - 230,000

Full time

7 days ago
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Job summary

Kaleidoscope seeks an AI Engineering Lead to drive end-to-end design and deployment of AI systems across chatbots, RAG platforms, autonomous agents, and workflow automations. You will lead multi-domain initiatives, architect scalable solutions with OpenAI, Anthropic, Vertex AI, and GitHub ecosystems, and oversee robust CI/CD pipelines using OpenShift and Kubernetes.

Collaborate with UI/UX, cybersecurity, governance, and business stakeholders to align AI capabilities with strategic outcomes in a

Qualifications

  • Ten+ years of specialty software engineering experience or equivalent demonstrated through work experience, training, or education.
  • Experience with TypeScript and modern React frameworks.
  • Hands-on experience deploying apps using OCP/OpenShift, Kubernetes, and CI/CD pipelines.
  • Experience building AI-enabled solutions with OpenAI, Anthropic, Google Vertex AI, and GitHub ecosystem.

Responsibilities

  • Lead end-to-end design and development of AI systems, including chatbots, RAG, autonomous agents, and workflow tools.
  • Drive multi-domain AI initiatives with backend, frontend, and model integrations.
  • Architect scalable, secure AI solutions leveraging major AI providers.
  • Oversee enterprise-grade deployment pipelines and ensure reliable production delivery.

Skills

TypeScript
React
OpenAI
Anthropic
Vertex AI
GitHub Ecosystem
OpenShift
Kubernetes
CI/CD
Python

Tools

OpenShift (OCP)
Kubernetes
CI/CD pipelines

Job description

Kaleidoscope seeks an AI Engineering Lead to drive end-to-end design and deployment of AI systems across chatbots, RAG platforms, autonomous agents, and workflow automations. You will lead multi-domain initiatives, architect scalable solutions with OpenAI, Anthropic, Vertex AI, and GitHub ecosystems, and oversee robust CI/CD pipelines using OpenShift and Kubernetes.

Collaborate with UI/UX, cybersecurity, governance, and business stakeholders to align AI capabilities with strategic outcomes in a

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