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# Forward Deployed Engineer

- **Company:** Everforth Apex
- **Location:** San Antonio, TX, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Business Systems, Cloud Engineering, Databases, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), DevOps, Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Build Management, Kubernetes, Machine Learning Operations, Data Pipelines, Docker
- **Published:** August 25, 2026
- **Apply:** https://www.dice.com/job-detail/be384fe2-0a7b-426c-8e2f-656330563bba

## About the Role

* Palantir Certified (Required)
 * 6+ years of software engineering, data engineering, or AI/ML experience.
 * 4+ years in customer-facing, consulting, solutions engineering, or field engineering roles.
 * Proven experience building and deploying AI/ML applications at enterprise scale.
 * Strong Python development skills with full-stack engineering experience.
 * Hands-on experience with LLMs, RAG architectures, vector databases, prompt engineering, and AI orchestration frameworks.
 * Experience with data engineering, ETL/ELT pipelines, and large-scale data integration.
 * Strong DevOps background with Docker, Kubernetes, CI/CD, and cloud-native deployments.
 * Excellent communication skills with the ability to engage both technical and business stakeholders.

Top Must-Haves

 * Palantir Certification
 * Strong Python development experience
 * Enterprise-scale AI/ML application delivery
 * 4+ years in customer-facing or field engineering roles
 * Data Engineering expertise (ETL/ELT, pipelines, data integration)

## Description

* Design and deliver end-to-end AI solutions, including agentic AI workflows, RAG pipelines, and enterprise AI applications.
 * Build and deploy scalable AI/ML systems in production environments.
 * Develop data pipelines and integrate AI solutions with enterprise platforms, databases, and business systems.
 * Lead solution architecture, prototyping, deployment, and post-production optimization.
 * Collaborate with customer stakeholders to translate business requirements into technical solutions.
 * Drive best practices around DevOps, observability, monitoring, and AI governance.


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