Full Stack Architect – AI & Agentic Systems

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • A hands-on technology leader who can bridge Full Stack Engineering + Enterprise Architecture + Agentic AI + AI-DLC
  • delivering secure
  • scalable
  • production-ready AI solutions.

Summary

Title: Full Stack Architect – AI & Agentic Systems

JD:
 
A hands-on technology leader who can bridge Full Stack Engineering + Enterprise Architecture + Agentic AI + AI-DLC, delivering secure, scalable, production-ready AI solutions.
 

Main Responsibilities

  • Lead enterprise & solution architecture for scalable AI-powered platforms.

  • Architect full-stack solutions using ReactJS, NextJS, TypeScript, NodeJS, .NET Core, and ASP.NET Core.

  • Design microservices, API-first, event-driven, DDD, CQRS, and cloud-native architectures.

  • Build Agentic AI and multi-agent solutions using LangGraph, Semantic Kernel, AutoGen, CrewAI, etc.

  • Design enterprise RAG solutions, vector databases, AI workflows, memory, tool usage, and human-in-the-loop controls.

  • Establish AI-DLC / LLMOps / MLOps practices covering evaluation, testing, monitoring, governance, and release readiness.

  • Implement AI guardrails, responsible AI, security, observability, and cost/quality monitoring.

  • Architect cloud solutions on Azure/AWS with Docker, Kubernetes, and CI/CD.

  • Provide technical leadership, mentoring, architecture governance, solutioning, and executive-level presentations.

Must-Have Skills

  • Frontend: ReactJS, NextJS, TypeScript, JavaScript, Redux.

  • Backend: NodeJS, ExpressJS, .NET 6/8, ASP.NET Core, C#, REST APIs.

  • Databases: SQL Server, PostgreSQL, MongoDB, Vector DBs.

  • AI: RAG, Agentic AI, Multi-Agent Systems, LangChain/LangGraph, Semantic Kernel, MCP, Prompt/Context Engineering.

  • LLMs: Azure OpenAI/OpenAI, Anthropic, Gemini.

  • Cloud/DevOps: Azure/AWS, Docker, Kubernetes, Azure DevOps, GitHub Actions/Jenkins.

  • Architecture: Microservices, DDD, CQRS, API-first, Event-Driven Architecture, SOLID.

Preferred

  • Healthcare / payer / provider / life sciences experience.

  • FHIR / HL7 knowledge.

  • AI Governance & Responsible AI.

  • Enterprise Copilot / Agentic AI implementations.

  • AI-driven SDLC / engineering productivity transformation.


Full Stack Architect – AI & Agentic Systems1scalable,Full Stack Architect – AI & Agentic Systems,A hands-on technology leader who can bridge Full Stack Engineering + Enterprise Architecture + Agentic AI + AI-DLC,delivering secure,production-ready AI solutions.N/AC2CUnited States
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: 10211255
  • Position Id: 247121-14311-1790110239
  • Posted 2 hours ago
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