Forward Deployed Engineer AI/ML

Compunnel

$120K — $145K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Palantir certification is required.
  • 6+ years in software engineering, data engineering, or AI/ML.
  • 4+ years in customer-facing roles such as consulting or field engineering.
  • Proven experience deploying AI/ML applications at enterprise scale.
  • Strong Python development and full-stack engineering skills.
  • Hands-on experience with LLMs, RAG architectures, and AI orchestration frameworks.
  • Strong DevOps experience with Docker, Kubernetes, and cloud-native deployments.

Responsibilities

  • Design and deliver end-to-end AI solutions including agentic AI workflows.
  • Build and deploy scalable AI/ML systems in production environments.
  • Develop data pipelines for integrating AI solutions with enterprise platforms.
  • Lead solution architecture, prototyping, and post-production optimization.
  • Collaborate with customer stakeholders to define technical solutions from business requirements.
  • Drive best practices in DevOps, observability, and AI governance.

Benefits

  • Remote working opportunity with up to 25% travel.
  • Exposure to diverse enterprise-level clients and complex problems.
  • Opportunity to work at the intersection of software engineering and AI advancements.
  • Engagement in a collaborative environment with customer stakeholders.
  • Focus on innovative solutions and the latest AI technologies.
Full Job Description
Job Summary
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. The position is remote, with travel of up to 25% as needed.

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 certification is required.
• 6+ years of experience in software engineering, data engineering, or AI/ML.
• 4+ years of experience 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 experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.
• Excellent communication skills with the ability to engage technical and business stakeholders.

Preferred Qualifications
• Experience designing and implementing agentic AI workflows and enterprise AI applications.
• Experience with AI governance, observability, and production monitoring.
• Experience delivering technical solutions directly within enterprise customer environments.

Certifications
• Palantir certification is required.

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