AI Engineer
Reston, VA · On-site
$77K - $176K/yr
Experience integratingAIcomponents, including embeddings, vector databases such as LanceDB, pgvector, and Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines * Ability to translate ...
Reston, VA · On-site
$77K - $176K/yr
Experience integratingAIcomponents, including embeddings, vector databases such as LanceDB, pgvector, and Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines * Ability to translate ...
Reston, VA · On-site
$77K - $176K/yr
Experience integratingAIcomponents, including embeddings, vector databases such as LanceDB, pgvector, and Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines * Ability to translate ...
Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb * Prompt Engineering: Strong skills in prompt engineering * Data Fluency: Ability to ...
Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb * Prompt Engineering: Strong skills in prompt engineering * Data Fluency: Ability to ...
Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings. * Experience with adversarial scenario generation and closed-loop simulation environments.
Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings. * Experience with adversarial scenario generation and closed-loop simulation environments.
Ann Arbor, MI · On-site +1
$102K - $140K/yr
Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). * Data Visualization - Integration with ...
Ann Arbor, MI · On-site +1
$102K - $140K/yr
Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). * Data Visualization - Integration with ...
Fort Belvoir, VA · On-site
$99K - $225K/yr
Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines * Ability to translate ...
Fort Belvoir, VA · On-site
$99K - $225K/yr
Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines * Ability to translate ...
Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/ or Big Data Analytics technologies is not a must, but very desirable. Learn More About Our Work:
Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/ or Big Data Analytics technologies is not a must, but very desirable. Learn More About Our Work:
Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/ or Big Data Analytics technologies is not a must, but very desirable. Learn More About Our Work:
Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/ or Big Data Analytics technologies is not a must, but very desirable. Learn More About Our Work:
Fort Belvoir, VA · On-site
$99K - $225K/yr
Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation ( RAG ) pipelines * Ability to translate ...
Fort Belvoir, VA · On-site
$99K - $225K/yr
Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation ( RAG ) pipelines * Ability to translate ...
Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/ or Big Data Analytics technologies is not a must, but very desirable. Learn More About Our Work:
Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/ or Big Data Analytics technologies is not a must, but very desirable. Learn More About Our Work:
$125K - $174K/yr
Deployment and Life cycle Management of LLM & Embedding Models (OpenAI, AWS Bedrock, Amazon SageMaker) and Vector Databases like LanceDB * Exposure to evaluation of new products and technologies like ...
$125K - $174K/yr
Deployment and Life cycle Management of LLM & Embedding Models (OpenAI, AWS Bedrock, Amazon SageMaker) and Vector Databases like LanceDB * Exposure to evaluation of new products and technologies like ...
Ann Arbor, MI · On-site +1
$102K - $140K/yr
Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS * ML Development pipeline * Python, Ray, PyTorch, Lightning, Gymnasium * Logging & aggregation, Experiment tracking ...
Ann Arbor, MI · On-site +1
$102K - $140K/yr
Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS * ML Development pipeline * Python, Ray, PyTorch, Lightning, Gymnasium * Logging & aggregation, Experiment tracking ...
Experience with vector databases (LanceDB, Milvus, Pinecone), event-driven systems (Redis, RQ, Celery), and containerized deployments (Docker, Kubernetes / Helm). A public artifact - a tool, an ...
Experience with vector databases (LanceDB, Milvus, Pinecone), event-driven systems (Redis, RQ, Celery), and containerized deployments (Docker, Kubernetes / Helm). A public artifact - a tool, an ...

$77K - $176K/yr
Full-time
Medical, Life, Retirement, PTO
Posted 8 days ago
8.8
Based on 47 frontline employees who took The Breakroom Quiz
9th of 58 rated business consultants
The Opportunity:
As an experienced engineer, you know that artificial intelligence 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 an enterprise-wide application and data capability. As an artificial intelligence engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll own and define the direction of critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of artificial intelligence engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define AI strategy for our national security customers.
Join us. The world can't wait.
You Have:
3+ years of experience in softwareengineering, machine learningengineering, orAIsystems development using Python
Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in production environments
Experience implementing advanced prompting strategies,AIorchestration frameworks such as LangChain or LlamaIndex, LLM inference engines such as vLLM or TGI, and tool calling and agentic workflows
Experience integratingAIcomponents, including embeddings, vector databases such as LanceDB, pgvector, and Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines
Ability to translate early-stage prototypes into robust and scalable production systems
Ability to take ownership of system performance, continuously optimizing for latency, throughput, and high reliability
Ability to obtain a Secret clearance
Bachelor's degree
Nice If You Have:
Experience collaborating with MLOps, DevOps, and infrastructureengineers to ensure seamless model deployment and infrastructure scaling
Experience working with cloud platforms such as AWS, Azure, and GCP and containerization technologies including Docker and Kubernetes
Experience with underlying model architectures, inference optimization techniques, or fine-tuning open-source models
Experience with distributed systems, streaming data such as Kafka, or integratingAIservices into larger enterprise microservice architectures
Secret clearance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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 $77,600.00 to $176,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.
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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.
It services
10,000+ Employees
McLean, VA, US
1914