[{"@context":"https://schema.org","@type":"JobPosting","title":"Product Owner","description":"

About Adelphi
Adelphi's Vision is to build the biggest AI Deployment company for National Security, which requires talent that is extremely good at problem solving, gets excited about National Security challenges, and thrives in software factories. We're executing a Mission that (1) Identifies the core bottlenecks in Warfighting, Intelligence and the Enterprise, (2) Assigns top talent with backgrounds in systems and machine learning engineering, and (3) Finds repeatability in solution development to target similar offices across the DoW/IC. The business has 10x'd in under two years and has built trust with the senior most leaders at the Department of War and Intelligence Community.

About the Role

We're hiring a Product Owner to run delivery planning for a large public sector customer in an AI R&D environment. You'll be forward deployed with our engineering team and you'll own the documents the program plans against: the PRDs, the roadmaps, the backlog, and the timelines we commit to.

Most of that doesn't exist yet. We're shipping fast for a customer who tracks our output closely, and when a date moves there's often no document either side can point to. Your job is to fix that and then keep it fixed, so the engineers can move without renegotiating scope every week.

You're the first person in this seat. You'll work closely with our lead forward deployed engineer and report to our Sr. Director of Product Operations, with a lot of room to decide how the work gets planned and run. The program spans a wide range of missions, and you'll get to run delivery at startup speed inside government work.

Location: Based in the McLean, VA area. On site three days a week, either at our office or at a customer location, with up to one of those days customer-facing. Very little travel ","datePosted":"2026-09-09","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Adelphi Ai"},"url":"https://jobs.ashbyhq.com/adelphi-ai/1cbb6963-27db-4f1d-b7ec-564f75f08ea0","jobLocationType":"TELECOMMUTE","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean, VA"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"

About Adelphi: Adelphi builds AI/ML-enabled secure data access and sharing technology for the U.S. intelligence and defense communities, using its Connector software product to enable federated data discovery that cuts intelligence-sharing time from months to minutes. The company's mission is to eliminate data silos, build trust in automation without compromising security, and improve information flow across mission-critical environments. Adelphi closed a $7M Seed round in August 2025 and has Customers across the Intelligence Community and the Department of War.

About the Role: The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers.

Location: This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected.

Clearance Requirement: An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates.

Is this you?

We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.

About Adelphi: Adelphi builds AI/ML-enabled secure data access and sharing technology for the U.S. intelligence and defense communities, using its Connector software product to enable federated data discovery that cuts intelligence-sharing time from months to minutes. The company's mission is to eliminate data silos, build trust in automation without compromising security, and improve information flow across mission-critical environments. Adelphi closed a $7M Seed round in August 2025 and has Customers across the Intelligence Community and the Department of War.
About the Role: The Forward Deployed Senior Machine Learning Engineer position requires a mix of software development, LLM Ops, and secdevops practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to provide solutions for the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will own end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers.
Clearance Requirement: An active U.S. Government Secret clearance is not required. Candidates must be U.S. citizens and be eligible to maintain and upgrade clearances as the role requires. Candidates need to be excited to work for the Defense and Intel Communities, and to apply AI to real applications for Government.
Is this you?
We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.

Adelphi Ai

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