Generative AI Architect

Artifintech; Plano (TX); On-site; USD 180,000 - 300,000; Full time

Job summary

Artifintech seeks an experienced GenAI Architect to design and implement end-to-end AI solutions for enterprise-scale environments. You will craft architectures around LLMs, RAG, and multi-agent workflows, with vector databases, on Azure or GCP.

Lead GenAI initiatives from POC to production, integrating with enterprise apps and data platforms. The role demands hands-on Python expertise, experience with LangChain/LlamaIndex/CrewAI, and strong cloud and MLOps capabilities.

Qualifications

• 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

Responsibilities

• Architect and implement end-to-end GenAI 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.

Skills

Generative AI

LLMs deployment

RAG systems

Agentic AI/Multi-Agent

Python programming

LangChain

LlamaIndex

CrewAI

AutoGen

PyTorch

TensorFlow

Distributed computing

API design

MLOps/LLMOps

Azure cloud

GCP cloud

Vector databases

Tools

LangChain

LlamaIndex

CrewAI

AutoGen

PyTorch

TensorFlow

Azure

GCP

Pinecone

Milvus

Qdrant

PGVector

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.

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.