AI Architect for Agentic Platforms

KPG99 INC United State
Relocation
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AI Summary

We are seeking an AI Architect to join an AI Enablement organization focused on building next-generation, enterprise-grade AI systems. The ideal candidate is someone currently working hands-on with modern AI technologies, particularly agentic systems and GenAI platforms. This role requires strong experience in cloud and distributed systems architecture, AI/ML systems, and agentic frameworks.

Key Highlights
Building next-generation AI systems
Hands-on experience with modern AI technologies
Strong experience in cloud and distributed systems architecture
Key Responsibilities
Designing enterprise AI/ML systems
Developing agentic workflows
Integrating LLM-based systems
Technical Skills Required
Cloud and distributed systems architecture AI/ML systems Agentic frameworks Generative AI Agentic workflows Retrieval-Augmented Generation (RAG) LLM-based integrations Multi-agent systems Kubernetes Containerization Identity and access management Networking CI/CD pipelines API management platforms
Benefits & Perks
Hybrid work arrangement
Relocation required
Contract employment with potential for permanent position

Job Description


Job Title: AI Architect – Agentic Platforms

Location: Cincinnati, OH (Hybrid)

Employment Type: Contract (Conversion to Permanent Required)

Relocation: Required if not currently local

Role Overview

We are seeking an AI Architect – Agentic Platforms to join an AI Enablement organization focused on building next-generation, enterprise-grade AI systems. This role is not for a traditional architect. The ideal candidate is someone currently working hands-on with modern AI technologies, particularly agentic systems and GenAI platforms.

While senior candidates are welcome, candidates with 5–8 years of experience are strongly encouraged to apply if they demonstrate deep, real-world experience with AI technologies rather than long tenure alone.


Required Qualifications

  • 10+ years of experience in cloud and distributed systems architecture
  • Strong focus on scalability, reliability, observability, and performance
  • 7+ years designing enterprise AI/ML systems
  • At least 1 year of hands-on experience with:
  • Generative AI
  • Agentic workflows
  • Retrieval-Augmented Generation (RAG)
  • LLM-based integrations
  • Multi-agent systems
  • Strong experience with agentic frameworks and tooling such as:
  • MCP
  • LangChain / LangGraph
  • LlamaIndex
  • AutoGen
  • CrewAI
  • Agent SDKs
  • OpenAI SDK or equivalent
  • Hands-on experience with modern software development practices and API-based integrations
  • Strong cloud experience (Azure and/or GCP), including:
  • Kubernetes and containerization
  • Identity and access management
  • Networking
  • CI/CD pipelines
  • API management platforms


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