Company
Technology
AIArchitect
Neural analysis suggests this role is
optimal for experienced candidates.
“AI Architect. Skills: AI Architect, AI Agent Architecture, Generative AI, Agentic AI. Design enterprise AI Agent Architecture. Develop scalable enterprise AI Agent Architecture”
What You'll Achieve.
Establish scalable AI Agent Architecture; Deliver production-ready AI agent use cases; Enable internal teams; Create foundation for future AI adoption
Industry & Context.
USC only, W2 Role
What They're Looking For.
Must Have
8+ years of experience in Software Architecture, 3+ years of experience designing AI/ML solutions, Experience working with Large Language Models, Experience designing AI solutions using cloud platforms, Experience with API integrations, Experience with microservices architecture, Experience with enterprise application design, Knowledge of AI governance, Knowledge of model monitoring, Knowledge of AI security, Knowledge of responsible AI practices, Experience leading technical initiatives, Experience collaborating with cross-functional teams, Excellent communication skills, Excellent documentation skills, Excellent stakeholder management skills
Nice to Have
Experience building AI agents for auditing, Experience building AI agents for compliance, Experience building AI agents for monitoring, Experience building AI agents for risk management, Experience building AI agents for operational automation, Experience with Retrieval-Augmented Generation (RAG), Experience with vector databases, Experience with AI orchestration frameworks, Familiarity with LangChain, Familiarity with LangGraph, Familiarity with CrewAI, Familiarity with AutoGen, Familiarity with Semantic Kernel, Experience working within large enterprise environments, Airline industry experience is a plus, Transportation industry experience is a plus, Logistics industry experience is a plus, Highly regulated industry experience is a plus
What You'll Do.
Design enterprise AI Agent Architecture
Develop scalable enterprise AI Agent Architecture
Lead implementation of AI agent use cases
Evaluate AI platforms
Recommend AI frameworks
Recommend architectural patterns
Develop AI agents for monitoring
Develop AI agents for auditing
Develop AI agents for compliance
Develop AI agents for operational workflows
Integrate AI solutions with enterprise applications
Integrate AI solutions with databases
Integrate AI solutions with APIs
Integrate AI solutions with cloud platforms
Establish governance standards for AI
Establish security standards for AI
Establish observability standards for AI
Establish performance standards for AI
Create reusable frameworks for AI
Create best practices for AI
Collaborate with business stakeholders
Identify opportunities for agentic AI adoption
Provide technical leadership
Provide mentorship to teams
Provide knowledge transfer to teams
Document architecture
Document implementation standards
Document operational procedures
Support AI strategy development
Support AI roadmap development
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders; Technology stakeholders
Communication Scope
Documentation; Stakeholder management
Full Job Description
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 USC only - W2 Role (No C2C/1099) 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
Applying for this AI Architect role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.