Full Stack Architect – AI & Agentic Systems (ReactJS, NextJS, NodeJS)

CitiusTech; Chicago (IL); Hybrid; USD 130,000 - 170,000; Full time

Job summary

CitiusTech is seeking a Full Stack Architect for AI & Agentic Systems in Chicago. Lead the design of AI-powered platforms using ReactJS, NextJS, NodeJS, .NET Core, and cloud-native patterns.

Architect agentic AI solutions with RAG, AI-DLC, and governance, while guiding teams in secure, scalable production systems. Responsibilities include defining end-to-end architecture, microservices, API-first design, and observability.

Qualifications

• Extensive experience as a senior full-stack architect delivering AI-enabled platforms.
• Strong expertise in ReactJS/NextJS/NodeJS/.NET Core and RESTful APIs.
• Proven ability to design scalable architectures, microservices, and cloud-native solutions.

Responsibilities

• Define end-to-end architecture for enterprise apps and AI-enabled platforms.
• Design scalable microservices and API-first architectures for cloud-native deployment.
• Establish governance, standards, and best practices across engineering teams.
• Conduct architecture reviews and technology assessments.

Skills

ReactJS

NextJS

TypeScript

HTML5/CSS3

Responsive UI Design

NodeJS

ExpressJS

.NET Core

Web API

REST API

C#

SQL Server

MongoDB

Microservices

API-First Design

DDD

CQRS

Design Patterns

Agentic Workflows

Multi-Agent Systems

Semantic Kernel

LangChain / LangGraph

AI Guardrails

Prompt Engineering

AI Evaluation Frameworks

Docker

GitHub Actions

Jenkins

Observability Platforms

Tools

Docker

Kubernetes

CI/CD Pipelines

Job description

Full Stack Architect – AI & Agentic Systems (ReactJS, NextJS, NodeJS)

Role Overview

We are seeking a highly experienced Full Stack Architect – AI & Agentic Systems to lead the design and implementation of next-generation digital platforms powered by modern web technologies and AI-driven architectures.

The ideal candidate will possess deep expertise in ReactJS, NextJS, NodeJS, .NET Core, ASP.NET Web APIs, cloud-native application development, and enterprise architecture, along with hands-on experience designing and implementing Agentic AI solutions, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and AI Development Lifecycle (AI-DLC) practices.

This role will drive the convergence of traditional software engineering and AI engineering, enabling scalable, secure, and production-ready AI-powered applications.

Key Responsibilities

• Define end-to-end architecture for enterprise applications and AI-enabled platforms.
• Design scalable systems leveraging microservices, API-first architecture, event-driven patterns, and cloud-native principles.
• Establish architecture governance, design standards, and engineering best practices.
• Conduct architecture reviews and technology assessments.

Full Stack Architecture

• Architect modern frontend applications using ReactJS, NextJS, TypeScript, and component-driven design.
• Design backend services using NodeJS, .NET Core, ASP.NET Web APIs, and microservices.
• Define secure integration patterns across enterprise applications, cloud services, and AI platforms.
• Drive performance optimization, observability, security, scalability, and maintainability.

Agentic AI Solution Architecture

• Architect autonomous and semi-autonomous AI agents for business process automation.
• Design multi-agent systems using orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
• Define AI workflows involving planning, reasoning, memory management, tool usage, and human-in-the-loop controls.
• Architect enterprise-grade RAG solutions integrating vector databases, enterprise knowledge sources, and LLMs.
• Implement guardrails, AI governance, responsible AI controls, and evaluation frameworks.

AI Development Lifecycle (AI-DLC)

• Establish and operationalize AI-DLC processes across ideation, experimentation, development, deployment, monitoring, and continuous optimization.
• Define standards for:
• Prompt Engineering
• RAG Validation
• Agent Testing
• AI Security Reviews
• Responsible AI Compliance
• Develop AI observability frameworks to monitor:
• Accuracy
• Hallucinations
• Cost
• User Satisfaction
• Implement AI release governance, validation gates, and production readiness assessments.

Cloud, DevOps & MLOps

• Architect solutions on Azure and/or AWS.
• Design CI/CD pipelines supporting both software and AI workloads.
• Integrate AI testing, prompt validation, and model evaluation into engineering workflows.
• Drive containerization and orchestration using Docker and Kubernetes.

Technical Leadership

• Mentor architects, engineering leads, and AI engineers.
• Collaborate with business stakeholders to identify and prioritize AI opportunities.
• Support solutioning, estimations, proposals, and executive presentations.

Required Technical Skills

Frontend

• ReactJS
• NextJS
• TypeScript
• HTML5/CSS3
• Responsive & Accessible UI Design
• NodeJS
• ExpressJS
• .NET Core (.NET 6+ / .NET 8)
• Web API / REST API
• C#

Databases

• SQL Server
• MongoDB
• Microservices
• API-First Design
• DDD
• CQRS
• Design Patterns

AI & Agentic AI

• Agentic Workflows
• Multi-Agent Systems
• Semantic Kernel
• LangChain / LangGraph
• AI Guardrails
• Prompt Engineering
• AI Evaluation Frameworks
• Docker
• GitHub Actions
• Jenkins
• Observability Platforms

Job Location: Chicago, IL(Hybrid- 3 days/week- WFO)

Duration: 12 Months

Preferred Qualifications

• Experience delivering AI-powered healthcare, payer, provider, or life sciences solutions.
• Experience with Healthcare interoperability standards (FHIR, HL7).
• AI Governance and Responsible AI experience.
• Exposure to AI-driven SDLC transformation and engineering productivity platforms.
• Experience implementing enterprise-scale Copilot or Agentic AI ecosystems.

Ideal Candidate Profile

A strategic technology leader who can seamlessly bridge Full Stack Engineering, Enterprise Architecture, Agentic AI, and AI-DLC governance, while driving AI-first transformation initiatives and building secure, scalable, production-grade intelligent systems that deliver measurable business value.