Full Stack Architect

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

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

Contract role

Looking for 14+ years

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

Please note that .NET experience is secondary for this role. We are primarily seeking candidates with strong hands-on expertise in ReactJS, NextJS, NodeJS and Agentic AI

We are ok to relax the AI skill, provided candidate is strong with React and NodeJS and ready to work onsite

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

Enterprise & Solution Architecture

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

Context Engineering

Evaluation & Benchmarking

Model Selection

RAG Validation

Agent Testing

AI Security Reviews

Responsible AI Compliance

Develop AI observability frameworks to monitor:

Accuracy

Hallucinations

Latency

Token Consumption

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.

Establish MLOps/LLMOps practices for enterprise deployments.

Drive containerization and orchestration using Docker and Kubernetes.

Technical Leadership

Mentor architects, engineering leads, and AI engineers.

Drive AI-first engineering transformation initiatives.

Collaborate with business stakeholders to identify and prioritize AI opportunities.

Support solutioning, estimations, proposals, and executive presentations.

Required Technical Skills

Frontend

ReactJS

NextJS

TypeScript

JavaScript (ES6+)

HTML5/CSS3

Redux / Redux Toolkit

Responsive & Accessible UI Design

Backend

NodeJS

ExpressJS

.NET Core (.NET 6+ / .NET 8)

ASP.NET Core

Web API / REST API

C#

Databases

SQL Server

PostgreSQL

MongoDB

Vector Databases (Pinecone, Azure AI Search, Weaviate, Chroma, Milvus)

Architecture

Microservices

API-First Design

Event-Driven Architecture

DDD

CQRS

SOLID Principles

Design Patterns

AI & Agentic AI

Azure OpenAI / OpenAI / Anthropic / Gemini

RAG Architecture

Agentic Workflows

Multi-Agent Systems

Semantic Kernel

LangChain / LangGraph

MCP (Model Context Protocol)

AI Guardrails

Prompt Engineering

Context Engineering

AI Evaluation Frameworks

Cloud & DevOps

Azure / AWS

Docker

Kubernetes

Azure DevOps

GitHub Actions

Jenkins

Observability Platforms

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. xsgimln

Experience implementing enterprise-scale Copilot or Agentic AI ecosystems.