Artificial Intelligence/Machine Learning Engineer

Job Number: R0230305

Artificial Intelligence/Machine Learning Engineer
The Opportunity:

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support intelligence clients. As an AI engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll design and build robust knowledge frameworks enabling AI systems to dynamically interact with structured and unstructured data, facilitating real-time insights and decision-making support. Leverage knowledge of the design and implementation of base architectures, data modeling for AI agents, Memory and State Management, and construction of RAG Pipeline Design to facilitate multi-modal data integration, partnering closely with data engineers on data pipeline coordination. Lead performance optimization of retrieval processes for use cases and define rigorous data quality and curation standards. Collaborate with AI teams and maintain thorough documentation of data architecture. Ensure compliance with data privacy standards, anonymization protocols, and ethical guidelines.

Join us. The world can't wait.

You Have:

• 8+ years of experience in data, solution architecture, or engineering
• 3+ years of experience with AI, ML, or knowledge-based systems
• Experience in knowledge management, semantic search, and information retrieval
• Experience designing knowledge graphs, ontologies, and semantic frameworks, including RDF, OWL, or Neo4j
• Experience with vector databases, such as Azure AI Search, PostgreSQL PgVector, Pinecone, Weaviate, or FAISS, and graph databases such as Neo4j or AWS Neptune
• Experience in ETL processes, data integration, and scripting, including Python, SQL, or API-driven architectures
• Experience in data governance, curation processes, and quality assurance practices within regulated health environments
• Knowledge of NLP methods and libraries, including spaCy, NLTK, or Hugging Face Transformers
• TS/SCI clearance with a polygraph
• Bachelor's degree

Nice If You Have:

• Experience in analytics to abstract complex data into structured, actionable models
• Experience in data-centric AI or ML projects within the intelligence community
• Experience designing APIs, microservices architecture, including FastAPI or Flask, and caching mechanisms such as Redis
• Knowledge of cloud-based AI data platforms, including AWS Kendra, AWS Bedrock, Azure Cognitive Search, or Google Cloud Platform Vertex AI
• Knowledge of data ethics, privacy standards, and security protocols
• Ability to adopt and implement emerging AI technologies such as LlamaIndex or advanced memory architectures
• Possession of excellent communication skills, including facilitating collaboration between technical teams, public health experts, and stakeholders

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

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.