Senior Generative AI Architect LLM, RAG, Agentic AI, MLOps
Dallas, TX, US • Posted 2 hours ago • Updated 2 hours ago

ITBrainiac Inc
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Job Details
Skills
- API
- Amazon EC2
- Amazon S3
- Amazon SageMaker
- Artificial Intelligence
- Cloud Computing
- Collaboration
- Communication
- Conflict Resolution
- Continuous Delivery
- Continuous Integration
- Data Science
- Docker
- GC
- Generative Artificial Intelligence (AI)
- Good Clinical Practice
- Google Cloud Platform
- LangChain
- Machine Learning (ML)
- Machine Learning Operations (ML Ops)
- Management
- Microservices
- Orchestration
- Problem Solving
- Prompt Engineering
- PyTorch
- Python
- Routing
- Step-Functions
- System Deployment
- Systems Architecture
- TensorFlow
- Vector Databases
- Vertex
Summary
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
- Dice Id: RTX14f85a
- Position Id: 117277
- Posted 2 hours ago
Company Info
ITBrainiac has a proven track record of successfully placing permanent and temporary candidates quickly and efficiently. We add Value to all stages of the Recruiting Process by Reducing Recruitment Cost thus increasing the Client’s Net Profit.
We provide outstanding candidates with vast knowledge, experience and skill in their specific skill. We work with a wide range of clients, from start-ups to multi-national companies. No matter the size of the firm, our experienced recruiters give each client their 100% effort, time and productivity.
Today, after more than a decade of improving and enhancing our database, client relations vendor relations and delivery model, ITBrainiac has evolved into a “One-Stop” shop for all things Staffing.

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