LLM Agentic AI Solution Architect

Visa Independent Visa Only We are looking for an experienced LLM Agentic AI Solution Architect with strong hands-on expertise in designing, developing, and deploying enterprise-scale AI/ML and Agentic AI solutions. Primary Skills – Must Have Retrieval-Augmented Generation (RAG) Agentic AI / Multi-Agent Orchestration LangChain, LangGraph, A2A, MCP APIs & Custom Connector Integration Python, PyTorch / TensorFlow 6–10 years in AI/ML/Deep Learning model development 2–3 years hands-on with LLMs, NLP, speech/voice AI 3–5 years deploying AI solutions in production environments 5+ years with Python, PyTorch, TensorFlow or similar 3–5 years designing/training/fine-tuning AI or LLM models 5 years with cloud AI platforms 2+ years with Agentic AI frameworks and multi-agent systems 5 years integrating AI models through APIs/pipelines Experience with model evaluation, optimization, bias detection and scalability What You’ll Do Design, develop and deploy advanced AI/LLM solutions Architect scalable Agentic AI and RAG solutions Collaborate with Data Engineering, LLM Ops and Software Engineering teams Evaluate, fine-tune and optimize models for production Research emerging AI/ML technologies and recommend innovative solutions Mentor junior AI engineers and conduct code/model reviews Troubleshoot AI deployment, integration and performance challenges Education Bachelor’s/Master’s in Computer Science, AI/ML, Data Science or a related field. Advanced coursework or certifications in ML, Deep Learning or NLP preferred. Strong communication, analytical, problem-solving, Agile/Scrum and stakeholder-management skills are essential. #J-18808-Ljbffr Erpmark