Generative AI Architect

Robotics Technologies LLC; Plano (TX); Presencial; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Robotics Technologies LLC is seeking an experienced AI Solutions Architect to design and implement enterprise-grade GenAI and Agentic AI systems. You will lead end-to-end deployments from POC to production, integrating GenAI with enterprise data platforms and APIs.

The role requires hands-on expertise with LLMs, RAG, multi-agent architectures, and cloud platforms such as Microsoft Azure or Google Cloud. Strong MLOps practices and security-aware design are essential for scalable, reliable

Formación

• 8–10+ years of experience in Software Engineering, Data Science, Machine Learning, or AI.

Responsabilidades

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

Conocimientos

Software Engineering

Data Science

Machine Learning

AI

Solution Architect

Python

LangChain

LlamaIndex

CrewAI

AutoGen

Azure

GCP

Vector Databases

MLOps/LLMOps

API design

PyTorch

TensorFlow

Herramientas

LangChain

LlamaIndex

CrewAI

AutoGen

Pinecone

Milvus

Qdrant

PGVector

Descripción del empleo

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.