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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Fort Meade, MD, United States - **Experience:** Expert - **Salary:** $99,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Feature Engineering, Delivery Pipeline, Model Validation, Programming Languages - **Published:** September 1, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87419638/1 ## About the Role * 6+ years of experience with data science or AI/ML engineering * Experience with programming languages such as Python or Rust * Experience developing, training,validating, and deploying AI/ML models * ExperienceoptimizingAI/ML models * Knowledge of computing, storage, and networking requirements across model training, tuning, and inference phases * Knowledge of model evaluation techniques * Ability to design and implement model deployment pipelines andMLOpsworkflows * Ability to implement monitoring frameworks for detecting model drift, performance degradation, and operational issues * TS/SCI clearance with a polygraph * HS diploma or GED and 6+ years of experience with data science or AI/ML engineering, or Bachelor's degree and 4+ years of experience with data science or AI/ML engineering Nice If You Have: * Experience with distributed compute frameworks * Experience working in mission-focused or national security environments * Experience evaluating new AI model architectures * Knowledge of secure AI engineering best practices such as adversarial robustness, model governance, or NIST AI RMF * Bachelor's degree ## Description As an experienced engineer, you understand that modern mission systems depend on the ability to develop,optimize, and deploy AI/ML models that canoperatereliably at scale. Your expertisein analyzing datasets, engineering features, and applying advanced statistical and machine learning techniques will be critical to ensuring model readiness and enhancing real-world operational outcomes. We need your technical depth and problemsolving mindset to advance the development, deployment, and continuous improvement of AI models that directly support evolving mission needs. As an AI Model SME on our team,you'lldesign, test,optimize, and operationalize models across cloud, edge, and hybrid environments. You will drive the technical direction for mission-critical AI solutions by selecting bestfit architectures, implementing robust deployment pipelines, and integrating models with enterprise and mission systems. You'll collaborate closely with data engineers, data scientists, cloud and network architects, and ISSE partners to ensure models are supported by secure, scalable infrastructure and high-quality data pipelines.You'llalso contribute technical leadership by evaluating emerging AI/ML frameworks, guiding feature engineering approaches, supporting finetuning and retraining cycles, and implementing monitoring frameworks to detect performance drift. Yourexpertisewill help mission partners understand and navigate the rapidly evolving landscape of AI/ML technologies, ensuring deployed modelsremainperformant, reliable, and aligned with operationalobjectives. Work withus to solve complex realworld challenges and shape the model lifecycle strategy that will drive innovation across mission environments. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)