Sr Forward Deployed Engineer, AWS Forward Deployed Engineering

Teamblind, Inc.; Herndon (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

Teamblind, Inc. seeks a Forward Deployed Engineer to embed with enterprise customers, designing, building, deploying, and running AI-powered production systems alongside their engineering teams.

You own end-to-end outcomes, write production-grade software, and create scalable architectures that can operate at enterprise scale. This role emphasizes reliability, observability, and operational excellence across complex deployments.

Responsibilities

• Lead technical delivery across customer engagements
• Architect and build production AI systems at scale
• Own production excellence across workstreams
• Scale the team's effectiveness

Job description

Description

A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDEs write production-grade software and own outcomes end-to-end, from prototype through enterprise-scale deployment combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes. They create reusable architectures, patterns, and engineering mechanisms that scale the entire FDE practice.

Key job responsibilities

Lead technical delivery across customer engagements

• Own the technical strategy and execution for complex, multi-workstream customer AI programs. Make architecture decisions that span multiple services and organizational boundaries. Align technical approach with the customer's long-term technology strategy. Requires 30-50% travel.

Architect and build production AI systems at scale

• Design the foundational architectures - multi-agent orchestration, enterprise retrieval systems, decision intelligence platforms - for the most complex customer engagements. Drive clarity where neither the business problem nor technology approach is fully defined. Build production systems that handle enterprise-scale traffic and reliability requirements.

Own production excellence across workstreams

• Define operational standards, evaluation frameworks, and production readiness criteria for AI systems across your engagement scope. Establish mechanisms (testing strategies, observability standards, incident response playbooks) that ensure AI systems remain healthy. Drive operational improvements that raise the bar for the team.

Scale the team's effectiveness

• Define engineering patterns, contribute to the interview and hiring process, and mentor junior FDEs into independent contributors. Coach others on system design, customer engagement, and production operations. Drive engineering excellence sta