Principal AI / ML Engineer

About Onebrief

Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. By transforming this work, Onebrief makes the staff as a whole superhuman - meaning faster, smarter, and more efficient.

We take ownership, seek excellence, and play to win with the seriousness and camaraderie of an Olympic team. Onebrief operates as an all-remote company, though many of our employees work alongside our customers at military commands around the world.

Founded in 2019 by a group of experienced planners, today, Onebrief’s team spans veterans from all forces and global organizations, and technologists from leading-edge software companies. We’ve raised $123m+ from top-tier investors, including Battery Ventures, General Catalyst, Insight Partners, and Human Capital, and today, Onebrief is valued at $1.1B. With this continued growth, Onebrief is able to make an impact where it matters most.

About the Role

We're hiring a Principal AI / ML Engineer to lead the design and implementation of enterprise-grade AI systems that power mission-critical operations. In this role, you will architect scalable AI infrastructure, deliver practical AI solutions that solve real operational challenges, and drive technical strategy for our AI-powered products.

You'll apply cutting edge AI to transform complex military requirements for planning critical operations into robust production-ready systems. You will have the opportunity to redefine distributed human-AI collaboration at scale with the use of multi modal foundation models, multi-agent orchestration and knowledge graph driven reasoning.

Expect to lead cross-functional technical initiatives, mentor engineers, and establish technical standards that enable rapid innovation while ensuring reliability. The solutions you design must be robust, scalable, and able to support thousands of users in regulated, offline-capable environments.

What You'll Do

Partner with product, domain experts, and leadership to translate operational needs into technical roadmaps.

Define system-level standards for model development, evaluation, and deployment, while mentoring senior and staff level engineers through collaboration.

Drive long term AI / ML architecture at Onebrief.

Agent Orchestration : Design systems that coordinate multiple AI agents, tools, and workflows to accomplish complex operational tasks.

Design and implement enterprise-scale AI infrastructure supporting retrieval, generation, and multi-modal reasoning.

Build and scale graph-based systems for structured representation, reasoning, and integration with generative models.

Apply LLM practices like RAG & prompt engineering to deliver grounded & reliable outputs for mission planning

Establish evaluation frameworks and SLO's for RAG quality, agent reliability, and system performance in production

Collaborate with infrastructure teams to ensure high quality data pipelines to power AI applications

What We Look For

M.S. in Computer Science, Engineering, or equivalent practical experience

10+ years in large scale distributed systems, ideally supporting more than 100k concurrent users

Proven experience designing and deploying AI systems at scale in distributed, production environments

Strong background in integrating LLMs with retrieval systems for real-world use cases

Understanding of data governance, model safety evaluations, red-teaming, and secure ML practices for regulated domains

Experience with building systems with information retrieval (relevance & ranking), natural language processing techniques like Named Entity Recognition (NER)

Preferred Qualifications

Background in defense, national security, or other mission-critical domains

Experience with orchestrating systems that combine text, structured data, and domain-specific signals