Senior GenAI Architect: Enterprise LLMs & MLOps

MACHINE LEARNING TECHNOLOGIES LLC; Plano (TX); On-site; USD 160,000 - 260,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX seeks a Generative AI Architect to design and implement end-to-end GenAI and agentic AI solutions for enterprise scale. You will lead architecture across LLMs, RAG, multi-agent workflows, and vector databases on Azure or GCP, driving production deployments from POC to live systems.

You will build secure, scalable GenAI architectures, integrate with enterprise apps and data platforms, and establish MLOps/LLMOps practices to monitor and govern AI

Qualifications

• 8–10+ years in Software Engineering, Data Science, ML, or AI.
• 3+ years as a Solution Architect/System Architect.
• Strong enterprise-level GenAI deployment experience.
• Hands-on with Generative AI, LLMs, RAG, and Agentic AI/Multi-Agent architectures.
• Strong Python programming experience.
• Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Strong cloud architecture experience with Microsoft Azure or GCP.
• Hands-on experience with vector databases (Pinecone, Milvus, Qdrant, PGVector).
• Strong understanding of MLOps/LLMOps, deployment, monitoring, and productionization.
• Experience with SQL, PySpark, distributed computing, and API design.
• Experience with PyTorch or TensorFlow.

Responsibilities

• Architect and implement end-to-end GenAI and Agentic AI solutions.
• Design enterprise-grade GenAI architectures using LLMs, RAG, multi-agent workflows, and vector databases.
• Build scalable AI architectures on Azure or GCP.
• Lead GenAI solutions from POC through production deployment.
• Integrate GenAI solutions with enterprise applications, APIs, data platforms, and cloud services.
• Establish MLOps/LLMOps practices for deployment, monitoring, and lifecycle management.
• Design solutions considering security, scalability, governance, reliability, and integration requirements.

Skills

Generative AI expertise

Solution Architecture

Python programming

Cloud architecture

MLOps/LLMOps

Distributed computing

API design

Communication skills

Tools

LangChain

LlamaIndex

Pinecone

Milvus

Qdrant

PGVector

PyTorch

TensorFlow

CrewAI

AutoGen

Azure

GCP

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX seeks a Generative AI Architect to design and implement end-to-end GenAI and agentic AI solutions for enterprise scale. You will lead architecture across LLMs, RAG, multi-agent workflows, and vector databases on Azure or GCP, driving production deployments from POC to live systems.

You will build secure, scalable GenAI architectures, integrate with enterprise apps and data platforms, and establish MLOps/LLMOps practices to monitor and govern AI