• AI Solution Architect

    Insight Global (Tampa, FL)


    Job Description

    An employer in Tampa, Florida is looking for an AI Solution Architect. This person will: Design and deliver scalable, secure, high-performance GenAI and agentic architectures. Integrate LLMs and multi-agent frameworks into existing platforms with modular, pluggable tools and context-aware reasoning.

     

    Define reference architectures for RAG, function/tool calling, event-driven pipelines, and real-time processing. Build multi-agent systems with reasoning pipelines and task automation.

     

    Design, Build and deploy Python back-end services.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    10+ years in software architecture with significant production GenAI experience

     

    Strong Python experience

     

    Experience working in Azure environment and with Azure AI tools

     

    Experience with Spark and modern data processing

     

    Strong experience with LLMs across hosted and open source ecosystems

     

    Experience with vector databases, prompt engineering, and fine-tuning based on QA efforts

     

    Experience with LangChain, Atomic agents, Autogen, and Semantic Kernel