Founding Forward Deployed Engineer

Aten Security; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote-friendly role

Periodic in-person collaboration

Travel for customer engagements

Job summary

Aten Security seeks a founding forward-deployed engineer to lead the technical path from customer discovery to secure production deployment of an agentic AI security platform.

Role focuses on the last-mile integration, ensuring customers can connect the product to agents, identity systems, tools, and audit destinations with minimal custom forks. Travel to customer locations is expected.

Qualifications

• Strong backend and systems engineering background with customer deployments.
• Experience delivering integration from discovery to production.
• Solid security and reliability judgment.
• Willingness to travel to NYC/DC/SF and other locations.

Responsibilities

• Integrate the platform through SDK, API, proxy, and MCP paths across varied customer environments.
• Build agent harnesses for model calls, context, state, tools, policy hooks, approvals, retries, timeouts, telemetry.
• Translate customer goals into security, privacy, reliability, performance, scale, and cost constraints.
• Package and validate deployment topologies for connected, customer-managed, and disconnected deployments.
• Develop deployment automation, diagnostics, runbooks, upgrade procedures, and rollback paths.
• Own PoC outcomes end to end, including success criteria, implementation, red teaming, acceptance tests, launch, and adoption.
• Convert repeated integration patterns into supported product interfaces and reusable playbooks.

Skills

Backend engineering

Production deployments

System integration

Security considerations

Customer-facing communication

Tools

SDK

API

Telemetry

Job description

Role overview

This founding forward-deployed engineering role owns the technical path from customer discovery through secure production deployment of an agentic AI security platform. The position is responsible for the \"last mile\" of integration, ensuring customers can connect the product to real agents, identity systems, tools, and audit destinations without creating permanent custom forks. It blends hands-on engineering, customer-facing technical work, and product feedback loops.

Responsibilities

• Integrate the platform through SDK, API, proxy, and MCP paths across varied customer environments.


• Build and adapt agent harnesses covering model calls, context, state, tool execution, policy hooks, approvals, retries, timeouts, and telemetry.


• Translate customer goals into explicit security, privacy, reliability, performance, scale, and cost constraints.


• Package and validate connected, customer-managed, and disconnected deployment topologies.


• Develop deployment automation, diagnostics, runbooks, upgrade procedures, and rollback paths.


• Own proof-of-concept outcomes end to end, including success criteria, implementation, red teaming, acceptance tests, launch, and measured adoption.


• Convert repeated integration patterns into supported product interfaces and reusable playbooks.

Requirements

• Strong backend and systems engineering background with experience shipping customer-facing production deployments.


• Demonstrated ability to carry a difficult integration from discovery into reliable production use.


• Solid judgment around security tradeoffs, system design, and operational reliability.


• Comfort working across infrastructure, application code, and customer-facing communication.


• Willingness to travel periodically for team offsites, industry events, and customer engagements in New York City, Washington D.C., the San Francisco Bay Area, and other customer locations.

Nice to have

• Background in security, identity, audit pipelines, or agentic AI systems.


• Experience with red teaming, policy enforcement, or telemetry instrumentation.


• Comfort moving between AI-enabled and AI-free engineering workflows.

Benefits and work setup

• Full-time role based in New York City, the San Francisco Bay Area, or remote within the U.S. and Canada.


• Distributed team with periodic in-person time for collaboration and customer proximity.