AI Solution Architect

Georgia Tek Systems

  • Chicago, IL
  • 2 days ago

    Highlights

    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.

    Numbers & Facts

    LocationChicago, IL

    Description

    AI Solution Architect
    Location: 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 Platforms

    Role Summary
    • We 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 Qualifications
    • 12–18+ years of overall experience in software engineering/architecture
    • 3–5+ years working with Generative AI / LLM-based systems
    • Strong experience with agentic frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel)
    • Hands-on experience with RAG, vector databases, and embeddings
    • Experience designing LLM-driven workflows
    • Strong knowledge of distributed systems and microservices
    • Proficiency in Python
    • Experience with cloud platforms (AWS, Azure, GCP)
    • Understanding of AI governance and responsible AI practices
    • Excellent stakeholder communication and architecture leadership skills

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