LLM Agentic AI Solution Architect

ERPMARK INC; California (MO); On-site; USD 180,000 - 280,000; Full time

Job summary

ERPMARK INC is seeking an experienced LLM Agentic AI Solution Architect to design, develop, and deploy enterprise-scale AI/ML and Agentic AI solutions. You will architect scalable Agentic AI and RAG systems, collaborating with Data Engineering, LLM Ops and Software Engineering teams to optimize production models.

The role requires hands-on expertise in Python, PyTorch/TensorFlow, and cloud AI platforms, with 5+ years in AI/ML model development and 2–3 years with LLMs/NLP.

Qualifications

• 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.

Responsibilities

• 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

Skills

RAG

Agentic AI/Multi-Agent

LangChain/LangGraph/A2A/MCP

APIs & Custom Connectors

Python

PyTorch/TensorFlow

AI/ML Model Development

LLMs/NLP

Production AI Deployment

Cloud AI Platforms

Agentic AI Frameworks

APIs/Pipelines Integration

Model Evaluation & Bias

Education

Bachelor’s/Master’s in Computer Science/AI/ML/Data Science

Tools

LangChain

LangGraph

A2A

MCP

Job description

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.