Booz Allen Hamilton is looking for an AI and ML Engineer to develop solutions for national security challenges. You will own and define the direction of mission-critical work by applying best-fit ML algorithms and technologies, training, testing, deploying, and maintaining models. You'll deliver solutions to a wide variety of national security problems and guide clients through the landscape of ML tools and frameworks.
What You'll Do
- Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
- Train, test, deploy, and maintain models that learn from data.
- Deliver AI/ML solutions to a wide variety of national security problems.
- Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
- Work as part of a large community of ML engineers, collaborating with data scientists, solutions architects, subject matter experts, product owners, and end users.
What We're Looking For
- 3+ years of experience in AI/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions.
- Experience applying AI/ML research to develop AI/ML solutions.
- Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation.
- Knowledge of the Software Development Life Cycle (SDLC) and commonly used tools such as Git.
- Ability to work independently with limited guidance and direction.
- TS/SCI clearance with a polygraph.
- Bachelor's degree in a CS, AI, Mathematics, or Statistics field.
Nice to Have
- Experience in rapid prototyping or developing proofs of concepts to demonstrate or validate AI/ML capabilities.
- Experience deploying AI/ML solutions into production environments using end-to-end model pipelines and tools such as Docker or Kubernetes.
- Experience with AI agent frameworks, including LangChain or LlamaIndex.
- Experience fine-tuning large-scale models for domain-specific tasks in secure or fully isolated, air-gapped environments.
- Experience leading small teams of AI/ML developers or researchers.
- Experience with high performance computing.
- Experience with major cloud platforms such as AWS, and their respective AI services such as SageMaker.
- Experience with data analysis and creation of data-driven visualizations.
- Master’s degree in CS, AI, Mathematics, Statistics, or a related field.
Technical Stack
- Languages & Frameworks: Python, PyTorch, TensorFlow, Keras
- ML Domains: NLP, LLM, RAG
- Tools & Infrastructure: Git, Docker, Kubernetes
- Frameworks: LangChain, LlamaIndex
- Cloud: AWS, SageMaker
Team & Environment
You will be part of a large community of ML engineers across the company and collaborate closely with data scientists, solutions architects, subject matter experts, product owners, and end users.
Benefits & Compensation
- Compensation: $99,000.00 to $225,000.00 (annualized USD)
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Work Mode
This is a hybrid position.
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
