AI Solution Architect – GenAI / Agentic AI
- Location
- Chicago, Illinois, United States
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview Seeking experienced AI Solution Architects to design and deliver enterprise-grade Generative AI and Agentic AI solutions. This is a long-term contract opportunity with 3 open positions. • Key Responsibilities & Daily Duties - Architect, design, and implement enterprise-grade Generative AI and multi-agent solutions. - Design cloud-native architectures and microservices incorporating AI agents and multi-agent systems. - Integrate enterprise applications using Python, REST APIs, and middleware interfaces. - Ensure robust AI security, role-based access control (RBAC), governance, guardrails, and model risk management. - Conduct AI evaluation, observability, monitoring, and cost optimization across LLM workflows. - Collaborate with enterprise stakeholders and provide technical leadership across the full solution lifecycle. • Required Qualifications, Skills & Experience - Demonstrated expertise in Agentic AI and Multi-Agent Architecture. - Deep understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering. - Hands-on experience with frameworks such as LangGraph, AutoGen, CrewAI, and Semantic Kernel. - Proficiency in Python, REST APIs, enterprise integrations, and vector databases/embeddings. - Strong background in Azure, cloud-native architecture, microservices, MLOps, and LLMOps. - Knowledge of fine-tuning techniques (LoRA, QLoRA) and model evaluation. - Proven track record in enterprise solution architecture and stakeholder leadership. • Working Hours, Shifts & Location Details - Location: Chicago, IL (Zip Code: 60604), Onsite. - Interview Mode: Video Interview. - Job Type: Long-Term Contract. • Application Instructions Interested candidates who match the profile requirements are invited to apply by submitting an updated resume.