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LLM Agentic AI Solution Architect

PublishedPublished: 6/14/2022
Technology

Job Description

🚀 Hiring: LLM Agentic AI Solution Architect

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📍 Location: Santa Clara, CA – Onsite

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💼 Employment: FTE

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🛂 Visa: Independent Visa Only

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🎓 Experience: 12+ Years

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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.

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🔑 Primary Skills – Must Have

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  • Cloud AI Platforms: AWS SageMaker, Azure ML, GCP AI
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  • Azure OpenAI & Azure AI Studio
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  • LLM Architecture & LLM Orchestration
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  • Retrieval-Augmented Generation (RAG)
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  • Agentic AI / Multi-Agent Orchestration
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  • LangChain, LangGraph, A2A, MCP
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  • Kubernetes / AKS
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  • APIs & Custom Connector Integration
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  • Python, PyTorch / TensorFlow
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  • AI model development, fine-tuning & production deployment
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  • Azure AI services including AI Speech, Translator, AI Search, Azure OpenAI
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  • Azure services: Container Apps/AKS, API Management, Event Hubs, Key Vault, Application Insights
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📌 Experience Requirements

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  • 6–10 years in AI/ML/Deep Learning model development
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  • 2–3 years hands-on with LLMs, NLP, speech/voice AI
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  • 3–5 years deploying AI solutions in production environments
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  • 5+ years with Python, PyTorch, TensorFlow or similar
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  • 3–5 years designing/training/fine-tuning AI or LLM models
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  • 5 years with cloud AI platforms
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  • 2+ years with Agentic AI frameworks and multi-agent systems
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  • 5 years integrating AI models through APIs/pipelines
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  • Experience with model evaluation, optimization, bias detection and scalability
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🎯 What You’ll Do

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  • Design, develop and deploy advanced AI/LLM solutions
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  • Architect scalable Agentic AI and RAG solutions
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  • Collaborate with Data Engineering, LLM Ops and Software Engineering teams
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  • Evaluate, fine-tune and optimize models for production
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  • Research emerging AI/ML technologies and recommend innovative solutions
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  • Mentor junior AI engineers and conduct code/model reviews
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  • Troubleshoot AI deployment, integration and performance challenges
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🎓 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.

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🤝 Strong communication, analytical, problem-solving, Agile/Scrum and stakeholder-management skills are essential.

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📩 Interested candidates: Please share your updated resume highlighting the primary skills and exact years of experience under the relevant projects.

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#Hiring #AIJobs #AgenticAI #LLM #GenerativeAI #AIArchitect #SolutionArchitect #AzureOpenAI #AzureAI #AWS #SageMaker #GCP #RAG #LangChain #LangGraph #MCP #Kubernetes #Python #MachineLearning #SantaClaraJobs #CaliforniaJobs #WinWire

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