Generative AI Architect

MACHINE LEARNING TECHNOLOGIES LLC; Plano (TX); Presencial; USD 160.000 - 260.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Generative AI expertise

Solution Architecture

Python programming

Cloud architecture

MLOps/LLMOps

Distributed computing

API design

Communication skills

Herramientas

LangChain

LlamaIndex

Pinecone

Milvus

Qdrant

PGVector

PyTorch

TensorFlow

CrewAI

AutoGen

Azure

GCP

Descripción del empleo

Job Details

• Job ID: J53667
• Job Title: Generative AI Architect
• Location: Plano, TX
• Duration: 18 Months + Extension
• Domain Exposure: Manufacturing
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

Architect and implement end-to-end Generative AI and Agentic AI solutions.

Design enterprise-grade solutions using LLMs, RAG, multi-agent workflows, and vector databases.

Build scalable AI architectures on Microsoft Azure or Google Cloud Platform (GCP).

Lead GenAI solutions from POC/prototype 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 enterprise security, scalability, governance, reliability, and integration requirements.

Must-Have Skills

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

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.