AI Solutions Architect — RAG & Enterprise Data (Remote)

Zachary Piper Solutions; Chapel Hill (NC); Remote; USD 225,000 - 230,000; Full time

Benefits offered by this job

Remote work flexibility

Job summary

Piper Companies is seeking a Forward Deployed Engineer to drive AI-powered solutions for a cutting-edge technology organization. You will work directly with customers to architect, implement, and optimize AI applications with a focus on Retrieval-Augmented Generation (RAG) and data connectivity.

You will design scalable data integration, collaborate with product and engineering teams, and deliver production-ready implementations while addressing performance, security, and deployment

Qualifications

• 8+ years in software/solutions/machine learning engineering or related field.
• Hands-on experience implementing AI applications including Retrieval-Augmented Generation (RAG).
• Strong understanding of enterprise data connectivity, APIs, databases, and integration technologies.

Responsibilities

• Partner with customers to understand business challenges and design AI-driven solutions.
• Implement and optimize RAG architectures to improve AI accuracy and relevance.
• Design data connectivity solutions that integrate structured and unstructured data into AI platforms.
• Collaborate with product, engineering, and customer stakeholders for deployment and adoption.
• Build proofs-of-concept, prototypes, and production-ready implementations for customer needs.
• Troubleshoot complex issues and provide recommendations for performance, scalability, and security.
• Act as a trusted technical advisor throughout the solution lifecycle.

Skills

RAG expertise

Data connectivity

APIs & integration

Python

Java

TypeScript

Customer communication

Team collaboration

Tools

LLM platforms

ML frameworks

Job description

Piper Companies is seeking a Forward Deployed Engineer to drive AI-powered solutions for a cutting-edge technology organization. You will work directly with customers to architect, implement, and optimize AI applications with a focus on Retrieval-Augmented Generation (RAG) and data connectivity.

You will design scalable data integration, collaborate with product and engineering teams, and deliver production-ready implementations while addressing performance, security, and deployment