Role Description
Engagement: Full-time · East Coast, USA
About the Role
We're looking for a Forward Deployed Engineer to bridge cutting-edge AI technology with our clients' real-world needs. This isn't a role where you architect from a distance — you'll sit with clients directly, write code, design and deploy AI agent systems, and own the path from a business problem to a working, adopted solution.
Your Mission
- Own technical delivery for client integrations of AI-powered agent systems, end to end
- Turn ambiguous business needs into concrete technical specs and solution designs
- Deploy, configure, and optimize multi-agent systems in production
- Build trust with clients through hands-on implementation, training, and support
- Feed real client feedback back into product improvement
Key Responsibilities
*Technical Implementation & Integration*
- Lead technical integration of our products into client systems — API integrations, data pipelines, custom workflows
- Build and maintain robust, scalable solutions tailored to client requirements, using Python and related technologies
- Troubleshoot complex issues during implementation, working with internal engineering as needed
*Client Engagement & Solution Design*
- Act as the primary technical point of contact, understanding client objectives and technical landscape
- Translate client needs into technical specifications and solution designs aligned with product capabilities
- Design and architect AI agent teams — assigning specialized roles and workflows tailored to each client
- Run technical workshops and training sessions to drive product adoption
- Partner with Customer Success and Support to ensure smooth, successful client outcomes
*Deployment & Optimization*
- Deploy, configure, and optimize multi-agent systems in production environments
- Build and integrate custom agents, tools, and processes using Python and open-source agent libraries
- Monitor deployed solutions for performance and business value, iterating on agent roles and workflows as client needs evolve
What We're Looking For
*Must Have*
- Proven experience in a customer-facing technical role — Solutions Engineer, Sales Engineer, or Technical Consultant
- Strong proficiency in Python, with experience in APIs and system integrations
- Familiarity with AI/ML concepts, AI agent frameworks, and LLMs
- Knowledge of workflow orchestration, multi-agent systems, or distributed computing
- Exceptional communication, presentation, and interpersonal skills
*Nice to Have*
- Bachelor's degree in Computer Science, Engineering, or a related field
- Experience building GenAI solutions — design patterns, RAG, SQL/NoSQL databases
- Contributions to open-source AI agent projects or experience with human-in-the-loop systems
Why You'll Love This Role
- Direct client ownership — from first conversation to production, no layers of hand-off
- Work at the intersection of cutting-edge AI and real business impact
- Close collaboration with Product, Engineering, Sales, and Customer Success
- Your solution designs and client feedback directly shape the product roadmap
*If you'd rather be embedded in real AI deployments than reviewing them from a distance — let's talk.*
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.
Similar Roles
Get the FDE Pulse Brief
Weekly market intelligence for Forward Deployed Engineers. Job trends, salary data, and who's hiring. Free.