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Cloud Agentic AI Consultant

Technogen, Inc.Charlotte, NC🇺🇸United StatesPosted 18 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.

TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.


Cloud Agentic AI Consultant

Location: Charlotte, NC (Onsite)


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.

Best Regards

Govinda rajulu. M| Sr. Talent Acquisition Specialist

Skills

Microservices
MongoDB
AWS
Azure
Java
Kubernetes
Python
Redis
Talent Acquisition
Terraform

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