Cloud Agentic AI Consultant

Charlotte, NC, US • Posted 4 hours ago • Updated 49 minutes ago
Contract Corp To Corp
Contract W2
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • APIs

Summary

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

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: 10217412
  • Position Id: 2026-43289
  • Posted 4 hours ago
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