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Forward Deployed Engineer

Empower ProfessionalsUnited States🇺🇸United StatesPosted 25 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
21 hours ago

Job Description

Role: Forward Deployed Engineer

Location: Remote (Travel up to 25% as needed- travel is covered)

Duration: 6+ months


Required Skills

  • Palantir Certification
  • Deep full-stack proficiency: Python
  • Proven track record in building and deploying AI/ML applications in production at enterprise scale
  • 4+ years in customer facing or field roles
  • Data Engineering Skills

Job Description
Forward Deployed Engineer (AI/ML)
We are seeking a Forward Deployed Engineer to partner directly with enterprise customers to design, build, and deploy production-grade AI solutions. This role combines software engineering, data engineering, AI/ML expertise, and customer engagement to solve complex business challenges through innovative AI applications.
Key Responsibilities

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.

Required Qualifications

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)

Location: Remote (Travel up to 25% as needed- travel is covered)

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