Cloud Agentic AI Consultant ( Local to North Carolina)

Charlotte, NC, US • Posted 4 hours ago • Updated 44 minutes ago
Contract Independent
Contract W2
1 Year
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Continuous Delivery
  • Continuous Integration
  • DevOps
  • Evaluation
  • Java
  • Kubernetes
  • Management
  • Microservices
  • Microsoft Azure
  • Microsoft Certified Professional
  • MongoDB
  • Optimization
  • Orchestration
  • Prompt Engineering
  • Python
  • Reasoning
  • Redis
  • Terraform
  • Vector Databases
  • Vertex

Summary

Role: Cloud Agentic AI Consultant

Location : Charlotte ,NC (Local )


We need a resource with stronger experience in building enterprise AI/Agentic platforms, including platform architecture, orchestration frameworks, developer tooling, and cloud-native platform engineering. We also need additional capacity to support the volume and complexity of work currently planned.

 

Required Skills

·        Strong experience designing and building enterprise-scale Agentic AI platforms, including agent runtimes, orchestration engines, developer frameworks, and platform services.

·        Expertise in cloud-native architecture, Kubernetes/OpenShift, microservices, APIs, event-driven systems, and scalable distributed platforms.

·        Hands-on experience with hyperscaler agentic AI offerings such as Google ADK/Agent Engine, Vertex AI, Azure AI Foundry, AWS Bedrock Agents, and MCP ecosystems.

·        Deep understanding of LLMs, reasoning models, tool calling, agent frameworks, RAG, model evaluation, prompt engineering, and inference optimization.

·        Experience building reusable SDKs, low-code/no-code developer experiences, workflow automation platforms, and self-service capabilities for application teams.

·        Strong DevOps and platform engineering experience, including CI/CD, GitOps, Infrastructure as Code (Terraform), containerization, release automation, monitoring, and production operations.

·        Experience with distributed data platforms including MongoDB, Redis, Vector Databases, caching architectures, session state management, and high-performance data access patterns for AI applications.

·        Knowledge of platform observability, governance, security, guardrails, identity, resiliency, and production operations for enterprise AI systems.

·        Strong software engineering skills in Python and/or Java with experience leading architecture and technical design for complex platforms.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90970970
  • Position Id: 9059669
  • Posted 4 hours ago
Contact the job poster
Shaik Saleem

Shaik Saleem

Recruiter @ ARK Infotech Spectrum
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