AI Engineer

TL;DR

AI Engineer (Agentic Frameworks): Train, test, deploy, and maintain models that learn from data for Air Force applications with an accent on agentic workflows, secure data foundations, and MLOps in regulated environments. Focus on designing event-driven integrations, building production-grade AI-enabled applications like LLMs and RAG, and optimizing organizational efficiency through ML techniques.

Location: Arlington, VA or San Antonio, TX, USA (Remote with possible in-person requirements at Booz Allen or customer facilities)

Salary: $77,600 - $176,000 USD (annualized)

Company

Consulting firm delivering AI solutions for the US Department of Defense and Air Force.

What you will do

• Own and define direction of critical AI solutions using cutting-edge Agentic frameworks.
• Train, test, deploy, and maintain models that learn from data to process massive datasets.
• Collaborate with data engineers, data scientists, solutions architects, and product owners.
• Build secure data foundations on AWS with governed ingest, data catalog, and data mesh products.
• Design event-driven integrations and workflow automation for insight-to-action pipelines.
• Implement MLOps/DevSecOps practices including CI/CD, containerization, and model monitoring in constrained environments.

Requirements

• 2+ years building production-grade software in Python, TypeScript, or Java with APIs/data services (FastAPI, Flask, REST, GraphQL, SQL)
• Experience developing/deploying AI applications (LLMs, RAG, GraphRAG, agentic workflows, tool-calling)
• Experience with secure data foundations on AWS, event-driven integrations, and MLOps/DevSecOps in regulated environments
• Secret clearance required
• Bachelor’s degree in Computer Science, Software Engineering, or Data Science
• Software engineering fundamentals: testing, code review, CI/CD

Nice to have

• Geospatial/3D data (point clouds, LiDAR, photogrammetry, digital twins)
• Knowledge-centric systems (vector databases, knowledge graphs, semantic search)
• Sensor streams/IoT (Kafka, NATS, RabbitMQ)
• Deployments in air-gapped/classified environments
• Kubernetes/OpenShift, IaC (Terraform), RMF/STIG
• Computer vision/multimodal analytics

Culture & Benefits

• Health, life, disability, financial, retirement benefits, paid leave, professional development, tuition assistance.
• Work-life programs, dependent care, recognition awards for performance.
• People-first culture prioritizing collaboration, cameras on during virtual meetings.
• Full-time employees eligible for comprehensive benefits.