Quick Overview
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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