Forward Deployed Engineer (FDE)

Job Description

Job Description

Role : Forward Deployed Engineer

Location: Remote

Duration: 6months+

Role Overview

As a Forward Deployed Engineer, you will operate at the front lines of innovation — embedded directly with subject matter experts, product, and engineering teams to rapidly design, architect, prototype, and deploy solutions that solve high-priority business problems. This is not a traditional engineering role with long delivery cycles. You will be expected to go from concept to working prototype in days, not months, while maintaining enterprise-grade standards for quality, security, and scalability.

You bring an exceptional combination of skills: deep hands-on engineering experience across AI agents and full-stack development, and the interpersonal skills to earn trust, drive alignment, and influence without authority. You are equally comfortable whiteboarding a system architecture with senior stakeholders and writing production code the same afternoon. You have direct experience developing agents on platforms like AWS Agent Core, and you thrive in fast, ambiguous environments where creative thinking and execution speed matter.

Key Responsibilities

Solution Design & Architecture

Lead solution design for complex, cross-functional data and AI problems — from initial discovery through to technical blueprint

Define and communicate architecture decisions, trade-offs, and delivery approaches to both technical and non-technical audiences

Design scalable, modular systems that balance the need for speed with enterprise standards for reliability, security, and maintainability

Participate in architecture reviews, ensuring alignment with enterprise patterns and platform standards

Create clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefs

Rapid Prototyping & Solution Delivery

Design and deliver working prototypes for complex data and AI problems within compressed timeframes, often days to weeks

Translate ambiguous business requirements into concrete technical solutions with minimal hand-holding

Balance speed of delivery with enterprise standards — your prototypes are production-ready, not throwaway

Continuously iterate on solutions based on direct feedback from product managers, program leads, and end users

Develop intuitive front-end interfaces and dashboards that bring data and AI outputs to life for business users

Apply strong UX instincts to simplify complex flows and make agent outputs accessible and actionable for non-technical stakeholders

AI Agent Development

Design, build, and deploy AI agents and multi-agent systems that automate complex workflows end-to-end

Develop and maintain agent skills — discrete, reusable capabilities that compose into larger agentic pipelines

Implement and extend Model Context Protocol (MCP) servers and clients to connect AI agents with enterprise tools, APIs, and data sources

Design evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety in production

Stay current with the rapidly evolving agentic AI landscape and proactively introduce new techniques and tooling to the team

Integrate LLMs, RAG systems, and ML models into production workflows

Collaboration & Stakeholder Engagement

Embed directly with product, program, and engineering teams to co-define problems and co-deliver solutions

Influence technical direction and build alignment across teams without relying on formal authority

Communicate complex technical concepts clearly to non-technical business stakeholders — in writing, in meetings, and in executive presentations

Mentor and elevate junior engineers, sharing patterns and practices for agentic development, prompt design, and rapid delivery

Foster a collaborative, low-ego team culture where speed and quality go hand in hand