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AI Architect

Chicago, IL, US • Posted 1 day ago • Updated 1 minute ago

Full Time

On-site

USD $40.00 - 48.00 per hour

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Sustainability
Scalability
Systems Design
Process Improvement
Continuous Monitoring
Database
Collaboration
IT Management
Mentorship
Roadmaps
Regulatory Compliance
Risk Management
Autogen
Semantics
Logistics
Use Cases
Training
Auditing
Business Process
Software Architecture
Solution Architecture
Machine Learning (ML)
Workflow
Orchestration
Microservices
Enterprise Software
Communication
Documentation
Stakeholder Management
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
LangChain
Vector Databases
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
API
Enterprise Architecture
Software Design
Knowledge Transfer
Artificial Intelligence

Summary

Position Overview

Seeking an experienced AI Architect to lead the design and implementation of an enterprise AI Agent Architecture. This role will be responsible for establishing the foundational framework for AI agents, developing initial proof-of-concept and production use cases, and providing knowledge transfer to internal teams to ensure long-term sustainability and scalability.

The ideal candidate will have expertise in AI/ML architecture, Generative AI, Agentic AI frameworks, LLM integration, and enterprise system design. This individual will work closely with business and technology stakeholders to identify opportunities for AI-driven automation, continuous monitoring, auditing, and operational process improvements.

Location: Chicago, IL (Hybrid)
Employment Type: Contract

Key Responsibilities

Design and develop a scalable enterprise AI Agent Architecture.
Lead the implementation of the first one to two AI agent use cases from concept through deployment.
Evaluate and recommend AI platforms, frameworks, tools, and architectural patterns.
Develop AI agents that support continuous monitoring, auditing, compliance, and operational workflows.
Integrate AI solutions with existing enterprise applications, databases, APIs, and cloud platforms.
Establish governance, security, observability, and performance standards for AI-driven solutions.
Create reusable frameworks and best practices for future AI agent development.
Collaborate with business stakeholders to identify opportunities for agentic AI adoption across various processes.
Provide technical leadership, mentorship, and knowledge transfer to internal engineering and architecture teams.
Document architecture, implementation standards, and operational procedures.
Support the organization's AI strategy and roadmap development.

Preferred Qualifications

Experience building AI agents for auditing, compliance, monitoring, risk management, or operational automation.
Experience with Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
Familiarity with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
Experience working within large enterprise environments.
Airline, transportation, logistics, or highly regulated industry experience is a plus.

What Success Looks Like

Establish a scalable AI Agent Architecture for the organization.
Successfully deliver one or more production-ready AI agent use cases.
Enable internal teams through documentation, training, and knowledge transfer.
Create a foundation for future AI agent adoption across auditing, monitoring, and operational business processes.

Required Qualifications

8+ years of experience in Software Architecture, Solution Architecture, or Enterprise Architecture.
3+ years of experience designing and implementing AI/ML or Generative AI solutions.
Strong understanding of Agentic AI concepts, autonomous workflows, and AI orchestration frameworks.
Experience working with Large Language Models (LLMs) such as OpenAI, Anthropic, Google Gemini, or similar platforms.
Experience designing AI solutions using cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong experience with API integrations, microservices architecture, and enterprise application design.
Knowledge of AI governance, model monitoring, security, and responsible AI practices.
Experience leading technical initiatives and collaborating with cross-functional teams.
Excellent communication, documentation, and stakeholder management skills.

Key Skills

AI Architecture
Generative AI
Agentic AI
Large Language Models (LLMs)
AI Agents
OpenAI / Gemini / Anthropic
LangChain / LangGraph / CrewAI
RAG Architecture
Vector Databases
Cloud Platforms (AWS, Azure, Google Cloud Platform)
API Integration
Enterprise Architecture
Solution Design
Knowledge Transfer
AI Governance

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: 91134517
Position Id: d3ef681c83e4bc5caabf4b748c5e16f5
Posted 1 day ago

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