Role Description
Job Title: Forward Deployed Engineer (AI) Location: Remote (USA) Employment Type: W2 Only, Long-term contract Experience: 10+ Years
Job Description
We are seeking an experienced Forward Deployed Engineer (FDE) to work directly with enterprise customers, designing and deploying AI-powered solutions that solve complex business problems. This role requires strong customer-facing skills, deep technical expertise in Google Cloud Platform (GCP), Large Language Models (LLMs), and hands-on experience building AI agents and enterprise-grade AI applications.
Required Skills
- 10+ years of experience.
- Strong experience with Google Cloud Platform (GCP).
- Hands-on experience with Large Language Models (LLMs).
- Experience designing and building AI Agents and agentic workflows.
- Experience integrating AI solutions with enterprise applications.
- Strong programming skills in Python.
- Experience with APIs, microservices, and distributed systems.
- Knowledge of prompt engineering, RAG, vector databases, and AI orchestration frameworks.
- Experience with cloud-native architectures, containers, and Kubernetes is preferred.
- Strong communication and stakeholder management skills.
- Ability to work directly with customers to understand business requirements and deliver technical solutions.
Pay: $80.00 - $100.00 per hour
Expected hours: 40.0 per week
Work Location: Remote
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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