Solution Architect (AI Infrastructure & Enterprise Platforms)

StatusNeo Inc.
Charlotte, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charlotte, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Engineering
Knowledge Management
Knowledge-Based Systems
Machine Learning
Systems Integration
Togaf
Kubernetes
Information Technology
Cloud Migration
Virtual Agents
VMware

Requirements

We are looking for a Highly experienced Solution Architect with expertise in Enterprise AI, GenAI, Cloud Architecture, and Infrastructure Modernization. Responsible for designing scalable AI-driven platforms, Agentic AI solutions, RAG-based knowledge systems, and enterprise governance frameworks. Leads the development of AI agents for FinOps, CloudOps, Patching, Upgrades, and Knowledge Management while driving AWS and VMware modernization initiatives. Strong background in AWS, Kubernetes, Agentic AI frameworks (LangGraph, CrewAI), enterprise integrations, cloud transformation, security, and AI governance. Proven ability to deliver intelligent, automated infrastructure solutions that improve operational efficiency, optimize costs, and accelerate digital transformation., * 12+ years of overall IT experience.

  • 5+ years designing enterprise AI/ML solutions.
  • 5+ years of cloud architecture experience.
  • Hands-on experience leading large-scale cloud transformation or VMware migration programs.
  • Experience implementing enterprise GenAI platforms and Agentic AI solutions.
  • Proven experience architecting RAG-based enterprise knowledge systems.

Preferred Qualifications

  • AWS Solutions Architect Professional Certification.
  • Azure AI Engineer or Azure Solutions Architect Certification.
  • Kubernetes Certifications (CKA/CKAD).
  • TOGAF Certification.
  • FinOps Practitioner Certification.
  • Experience in insurance, financial services, or highly regulated industries.
  • Experience building enterprise AI Centers of Excellence.

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