Forward Deployed Engineer - 173059

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 help drive AI-powered solutions for a cutting-edge technology organization. The Forward Deployed Engineer role is ideal for an engineer who excels at working directly with customers to architect, implement, and optimize AI applications, with a strong focus on Retrieval-Augmented Generation (RAG), data connectivity, and enterprise-scale integrations.

Responsibilities of the Forward Deployed Engineer:

• Partner directly with customers to understand business challenges and design AI-driven solutions that deliver measurable value.
• Implement and optimize Retrieval-Augmented Generation (RAG) architectures to improve the accuracy and relevance of AI applications.
• Design and develop data connectivity solutions that integrate structured and unstructured enterprise data sources into AI platforms.
• Collaborate with product, engineering, and customer stakeholders to ensure successful deployment and adoption of AI solutions.
• Build proof-of-concepts, prototypes, and production-ready implementations tailored to customer requirements.
• Troubleshoot complex technical issues and provide recommendations for performance, scalability, and security improvements.
• Act as a trusted technical advisor throughout the solution lifecycle.

Qualifications of the Forward Deployed Engineer:

• 8+ years of experience in software engineering, solutions engineering, machine learning engineering, or a related field.
• Hands-on experience implementing AI applications, including Retrieval-Augmented Generation (RAG) solutions.
• Strong understanding of enterprise data connectivity, APIs, databases, and integration technologies.
• Experience working with modern AI/LLM platforms and related development frameworks.
• Proficiency in one or more programming languages such as Python, Java, or TypeScript.
• Strong customer-facing communication skills with the ability to translate technical concepts into business outcomes.
• Experience working in fast-paced, highly collaborative environments.

Compensation for the Forward Deployed Engineer includes:

• Salary: $225,000 - $230,000/Annually
• Comprehensive benefits package including medical, dental, vision, 401(k), and PTO
• Must be eligible to obtain a secret clearance
• Remote work flexibility

This job opens for applications on 08/27/2026. Applications for this job will be accepted for at least 30 days from the posting date.

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