Applied AI Engineer

Booz Allen Hamilton•McLean, VA

2d•$77,600 - $176,000•Onsite

About The Position

As an Applied AI Engineer on Booz Allen’s national security team, you will train, test, deploy, and maintain models that learn from data. You will define the direction of critical solutions by applying suitable machine-learning algorithms and technologies, helping customers develop AI strategies and enterprise-wide application and data capabilities. You will collaborate with artificial intelligence engineers, data engineers, data scientists, solutions architects, MLOps engineers, Mission Integration teams, and product stakeholders. The work includes processing data at scale, translating mission needs into business-facing AI capabilities, and advising clients on AI and machine-learning algorithms, tools, and frameworks. You will rapidly prototype and iterate on use-case-specific AI solutions, evaluate and tune their outputs, and adapt solutions to different domains and operational requirements. The position is listed as not remote and is located in McLean, Virginia, with an additional location in Fort Belvoir, Virginia. Applicants must be able to obtain a Secret clearance. The position offers an annualized projected compensation range of $77,600 to $176,000. Booz Allen describes benefits including health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The posting notes that benefits eligibility depends on hours worked.

Requirements

Experience with software engineering, applied AI and machine learning, or full-stack development, including AI integrations.
Experience rapidly prototyping, developing, and iterating on use-case-specific AI solutions such as chat systems, user-facing applications, and domain-specific copilots.
Experience evaluating and tuning AI outputs, including prompt refinement, retrieval optimization, and custom heuristics.
Experience with Python and building API endpoints using FastAPI or Flask, or using rapid UI frameworks such as Streamlit or Gradio.
Ability to work closely with Mission Integration teams and product stakeholders to translate mission needs into business-facing AI capabilities.
Ability to pivot between domains and use cases and adapt AI solutions to operational requirements.
Ability to obtain a Secret clearance.
Bachelor's degree.

Nice To Haves

Experience with human-in-the-loop evaluation, AI red teaming, or assessing conversational interfaces for safety and hallucination mitigation.
Experience with front-end development technologies such as React or TypeScript.
Experience deploying and managing analytical dashboards or mechanisms to track user interactions and model performance.
Experience with user experience best practices tailored to conversational AI and generative interfaces.
Secret clearance.
Security+ certification.

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Define the direction of critical AI solutions by selecting suitable machine-learning algorithms and technologies.
Rapidly prototype, develop, and iterate on use-case-specific AI solutions, including chat systems, user-facing applications, and domain-specific copilots.
Evaluate and tune AI outputs, including refining prompts, optimizing retrieval logic, and implementing custom heuristics.
Build API endpoints and use rapid UI frameworks to demonstrate AI capabilities.
Work with Mission Integration teams and product stakeholders to translate mission needs into refined, business-facing AI capabilities.
Adapt AI solutions to different domains and operational requirements.
Collaborate with data engineers, data scientists, solutions architects, MLOps engineers, and other AI engineers to deliver solutions, including processing data at scale.
Guide clients as they assess AI and machine-learning algorithms, tools, and frameworks.