Sign upLog in
See more jobs

Full Stack Architect – AI & Agentic Systems

E-Solutions INC

  • NULL, CA
  • 5 days ago
  • Remote

    Highlights

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

    Numbers & Facts

    LocationNULL, CA (
    Remote    )

    Description

    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.

    Similar Jobs

    See more jobs