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# Cloud Agentic AI Consultant

- **Company:** Technogen, Inc.
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Release Automation, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data Security, DevOps, Distributed Data Store, Python (Programming Language), MongoDB, OpenShift, Redis, Software Engineering, Large Language Models, Prompt Engineering, Model Validation, Caching, Event Driven Architecture, Containerization, Kubernetes, Low-code, Virtual Agents, Terraform, Microservices
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/40190839-3744-40ca-b65a-b97aa61e9dc6

## About the Role

* 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.



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