Forward‑Deployed ML Engineer – Full‑Stack AI for Defense

Adelphi Data; Washington (District of Columbia); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Adelphi Data in the Washington, DC area is seeking a Forward Deployed Senior Machine Learning Engineer who can own end-to-end delivery of agentic, full-stack systems built atop frontier models. The role combines software development, LLM Ops, and secdevops in a fast-paced defense/intelligence context, with close collaboration with government customers.

The position requires an active U.S. Government clearance and a hybrid work model with three days per week in the DC office or onsite with

Qualifications

• Production experience delivering end-to-end LLM-enabled services.
• Security-conscious development for DoD/IC environments.
• Ability to scope problems with customers and deliver agentic AI applications.

Responsibilities

• Own end-to-end delivery of agentic, full-stack systems from prototype to production.
• Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration.
• Work directly with customers to scope problems, sequence delivery, and ship novel AI applications.
• Codify repeatable patterns into reusable tools and building blocks for faster delivery.

Skills

LLM engineering

Agent frameworks

Secure ML deployment

Prompt engineering

Problem solving

Tools

Docker

Kubernetes

AWS

LangGraph

OpenAI Agents SDK

Claude Agent SDK

AutoGen

Copilot

Job description

Adelphi Data in the Washington, DC area is seeking a Forward Deployed Senior Machine Learning Engineer who can own end-to-end delivery of agentic, full-stack systems built atop frontier models. The role combines software development, LLM Ops, and secdevops in a fast-paced defense/intelligence context, with close collaboration with government customers.

The position requires an active U.S. Government clearance and a hybrid work model with three days per week in the DC office or onsite with