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# Forward Deployed Engineer

- **Company:** Zachary Piper
- **Location:** Chapel Hill, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $225,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, Large Language Models, Software Troubleshooting, Generative AI, AI Platforms, Programming Languages
- **Published:** August 29, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9125562/forward-deployed-engineer

## About the Role

· 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.

## Description

· 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.


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