Senior Generative AI Architect LLM, RAG, Agentic AI, MLOps

Senior Generative AI Architect LLM, RAG, Agentic AI, MLOps
Location: Concord, CA OR Dallas, TX OR Charlotte, NC (Hybrid Onsite Required)
Duration: 6+ Months

Job Summary

We are seeking a Senior Generative AI Architect to design and deliver enterprise-scale Generative AI, LLM, RAG, and Agentic AI solutions. This role focuses on building scalable, production-grade AI systems using modern LLMOps/MLOps, cloud-native architectures, and multi-agent orchestration frameworks.

The ideal candidate brings deep hands-on expertise across Python, GenAI frameworks, vector databases, cloud AI platforms, and end-to-end AI system architecture.

Key Responsibilities

• Architect and implement Generative AI solutions for text, image, and multimodal use cases

• Design and deploy Retrieval-Augmented Generation (RAG) pipelines using vector databases

• Build agentic AI systems with routing, memory, guardrails, and multi-agent orchestration

• Develop and optimize prompt engineering and embedding strategies

• Integrate GenAI capabilities into enterprise applications and workflows

• Design and manage LLMOps/MLOps pipelines with CI/CD automation

• Support high-volume inference and scalable AI deployments in cloud environments

• Collaborate with cross-functional teams and provide architectural guidance

Required Skills (Must Have)

• 10+ years of experience in AI, Machine Learning, Data Science, and Generative AI

• Strong hands-on experience with LLMs, Transformers, Hugging Face ecosystem

• Deep expertise in RAG architectures and vector databases (Pinecone, FAISS, ChromaDB, Weaviate)

• Proven experience with Agentic AI frameworks (LangChain, LangGraph, CrewAI)

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)

• Hands-on MLOps / LLMOps experience using MLflow, DVC, CI/CD pipelines

• Experience with LoRA, QLoRA, PEFT fine-tuning techniques

• Cloud-native AI experience on AWS (SageMaker, Lambda, EKS, EC2, S3, Step Functions) and Google Cloud Platform (Vertex AI)

• Microservices and API development using FastAPI, REST APIs, Docker, Kubernetes

Nice to Have Skills

• Google Cloud Platform (Google Cloud Platform)

• Advanced Prompt Engineering

• Azure OpenAI experience

Core Competencies

• Generative AI architecture and solution design

• Multi-agent orchestration and context engineering

• Scalable AI system deployment and optimization

• Strong programming and problem-solving skills

• Excellent communication and stakeholder collaboration