Artificial Intelligence Engineer
$77.5k - $176kBooz Allen Hamilton
Job Number: R0246367 Artificial Intelligence Engineer
The Opportunity: As an experience d engineer, you know that machine learning (ML) 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 the Air Force. As an ML engineer on our defensive and offensive cyberspace operations teams, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a talented team of ML engineers across the company and collaborate with data scientists, data engineers, solutions architects, and developers to deliver world class solutions. As an AI Engineer on our team, you'll develop AI-native solutions incorporating multiple disciplines spanning across sof tware development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerate missions with AI tools. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for defensive and offensive cyberspace operations. Join us. The world can't wait. You Have:
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.
The Opportunity: As an experience d engineer, you know that machine learning (ML) 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 the Air Force. As an ML engineer on our defensive and offensive cyberspace operations teams, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a talented team of ML engineers across the company and collaborate with data scientists, data engineers, solutions architects, and developers to deliver world class solutions. As an AI Engineer on our team, you'll develop AI-native solutions incorporating multiple disciplines spanning across sof tware development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerate missions with AI tools. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for defensive and offensive cyberspace operations. Join us. The world can't wait. You Have:
- 2+ years of experience in ML, data science, data engineering, or sof tware development
- Experience with integration of LLMs or Agentic workflows within sof tware stacks
- Experience with the Agile sof tware development lifecycle and full-stack web application development
- Knowledge of JavaScript or TypeScript, Python, and HTML or CSS
- Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities
- Ability to travel up to 25% of the time
- Secret clearance
- Bachelor's degree in CS or a Science or Mathematics field
- Knowledge of AWS, Azure, Google Cloud Platform, Databricks, and Palantir Foundry
- Top Secret clearance
- DoD 8570 Level II Certification
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.
Vacancy posted 1 day ago
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