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.