AI Solution ArchitectLocation: Chicago, IL (Day 1 Onsite) Experience: 12–18+ years (3–5+ years in GenAI / LLM systems) Skills: Core AI & GenAI, Architecture & Design, LLM-driven workflows, Agentic frameworks, APIs, Cloud PlatformsRole SummaryWe are seeking an experienced AI Solution Architect to lead the design and implementation of enterprise-grade agentic AI platforms and LLM-driven workflows. The ideal candidate will define end-to-end agent frameworks, establish governance guardrails, and partner closely with engineering, security, compliance, and business stakeholders to deliver scalable and responsible AI solutions.This role requires deep expertise in Generative AI, RAG architectures, agent orchestration, and cloud-native distributed systems, along with strong stakeholder engagement and strategic leadership capabilities.Required Qualifications12–18+ years of overall experience in software engineering/architecture3–5+ years working with Generative AI / LLM-based systemsStrong experience with agentic frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel)Hands-on experience with RAG, vector databases, and embeddingsExperience designing LLM-driven workflowsStrong knowledge of distributed systems and microservicesProficiency in PythonExperience with cloud platforms (AWS, Azure, GCP)Understanding of AI governance and responsible AI practicesExcellent stakeholder communication and architecture leadership skills