Full Stack Architect

Chicago, IL, US • Posted 3 hours ago • Updated 3 hours ago

Full Time

On-site

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Job Details

Skills

Application Development
Enterprise Architecture
Software Engineering
Performance Tuning
Scalability
Solution Architecture
Process Automation
Autogen
Reasoning
Management
Ideation
Optimization
Benchmarking
Regulatory Compliance
Continuous Integration
Continuous Delivery
Testing
Machine Learning Operations (ML Ops)
Orchestration
IT Management
Mentorship
Collaboration
Presentations
React.js
TypeScript
JavaScript
Elasticsearch
HTML5
Css3
Cascading Style Sheets
Redux Toolkit
UI
Node.js
Express.js
.NET
ASP.NET
Web API
RESTful
C#
Database
Microsoft SQL Server
PostgreSQL
MongoDB
Vector Databases
Microservices
API
Domain-driven Design
CQRS
Design Patterns
Workflow
Semantics
LangChain
Microsoft Certified Professional
Prompt Engineering
Evaluation
Cloud Computing
Amazon Web Services
Docker
Kubernetes
Microsoft Azure
DevOps
GitHub
Jenkins
Life Sciences
Health Care
HL7
Software Development Methodology
Productivity
Artificial Intelligence

Application Development
Enterprise Architecture
Software Engineering
Performance Tuning
Scalability
Solution Architecture
Process Automation
Autogen
Reasoning
Management
Ideation
Optimization
Benchmarking
Regulatory Compliance
Continuous Integration
Continuous Delivery
Testing
Machine Learning Operations (ML Ops)
Orchestration
IT Management
Mentorship
Collaboration
Presentations
React.js
TypeScript
JavaScript
Elasticsearch
HTML5
Css3
Cascading Style Sheets
Redux Toolkit
UI
Node.js
Express.js
.NET
ASP.NET
Web API
RESTful
C#
Database
Microsoft SQL Server
PostgreSQL
MongoDB
Vector Databases
Microservices
API
Domain-driven Design
CQRS
Design Patterns
Workflow
Semantics
LangChain
Microsoft Certified Professional
Prompt Engineering
Evaluation
Cloud Computing
Amazon Web Services
Docker
Kubernetes
Microsoft Azure
DevOps
GitHub
Jenkins
Life Sciences
Health Care
HL7
Software Development Methodology
Productivity
Artificial Intelligence

Summary

Job Description

Role : Full Stack Architect - AI & Agentic Systems (ReactJS, NextJS, NodeJS)
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Location : Chicago, IL(Hybrid- 3 days/week- WFO)
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Contract role
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Looking for 14+ years
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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
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We are ok to relax the AI skill, provided candidate is strong with React and NodeJS and ready to work onsite
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Role Overview
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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.
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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.
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This role will drive the convergence of traditional software engineering and AI engineering, enabling scalable, secure, and production-ready AI-powered applications.
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Key Responsibilities
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Enterprise & Solution Architecture
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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.

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Full Stack Architecture
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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.

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Agentic AI Solution Architecture
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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.

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AI Development Lifecycle (AI-DLC)
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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.

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Cloud, DevOps & MLOps
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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.

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Technical Leadership
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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.

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Required Technical Skills
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Frontend
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ReactJS
NextJS
TypeScript
JavaScript (ES6+)
HTML5/CSS3
Redux / Redux Toolkit
Responsive & Accessible UI Design

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Backend
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NodeJS
ExpressJS
.NET Core (.NET 6+ / .NET 8)
ASP.NET Core
Web API / REST API
C#

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Databases
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SQL Server
PostgreSQL
MongoDB
Vector Databases (Pinecone, Azure AI Search, Weaviate, Chroma, Milvus)

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Architecture
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Microservices
API-First Design
Event-Driven Architecture
DDD
CQRS
SOLID Principles
Design Patterns

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AI & Agentic AI
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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

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Cloud & DevOps
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Azure / AWS
Docker
Kubernetes
Azure DevOps
GitHub Actions
Jenkins
Observability Platforms

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Preferred Qualifications
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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.

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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: orcfeed
Position Id: 24495_29249_a9e222938040d86e
Posted 3 hours ago

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