Senior Generative AI Architect: LLM & RAG Solutions

Appathon; Plano (TX); Hybrid; USD 83,000 - 90,000; Full time

Job summary

Appathon in Plano, TX seeks a hands-on Senior Generative AI Engineer / Architect to design, develop, and deploy AI/ML solutions, LLM-powered apps, and RAG systems. You will build AI workflows and reusable data pipelines, and integrate AI capabilities with enterprise data platforms.

The role emphasizes production readiness, POCs, collaborating with engineering and business teams, and staying current with emerging AI models and frameworks.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field, or equivalent experience.
• 5+ years of experience in AI Engineering, Machine Learning, Data Science, or Data Engineering.
• Hands-on experience with Python and SQL.
• Experience developing LLM applications, RAG pipelines, AI agents, and vector search solutions.

Responsibilities

• Design and develop AI/ML and Generative AI solutions.
• Build LLM applications, RAG pipelines, AI agents, and vector search solutions.
• Develop AI workflows and reusable data pipelines.
• Build and evaluate AI/ML prototypes and proofs of concept (POCs).
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Collaborate with engineering, architecture, and business teams.
• Research emerging AI technologies, models, and frameworks.
• Support scalable AI architecture, deployment, security, and performance optimization.

Skills

AI Agents

Agentic AI

Solution Architecture

ML Frameworks

SDKs & APIs

Cloud Platforms

Azure AI

LLMs

Data Engineering

Python

RAG Pipelines

Vector Search

Education

Bachelor's degree

Job description

Appathon in Plano, TX seeks a hands-on Senior Generative AI Engineer / Architect to design, develop, and deploy AI/ML solutions, LLM-powered apps, and RAG systems. You will build AI workflows and reusable data pipelines, and integrate AI capabilities with enterprise data platforms.

The role emphasizes production readiness, POCs, collaborating with engineering and business teams, and staying current with emerging AI models and frameworks.