Applied AI Engineer

Booz Allen Hamilton•Reston, VA

2d•$99,000 - $225,000•Remote

About The Position

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 and 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.

Requirements

3+ years of experience in software engineering, applied AI and ML, 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 conducting comprehensive evaluation and tuning of AI outputs, including refining prompts, optimizing retrieval logic, and implementing custom heuristics
Experience with Python and building API endpoints, such as, FastAPI or Flask, or rapid UI frameworks, such as Streamlit or Gradio, to demonstrate AI capabilities
Ability to work closely with Mission Integration teams and product stakeholders to translate mission needs into refined, business-facing AI capabilities
Ability to pivot quickly between different domains and use cases, adapting AI solutions to various operational requirements
TS/SCI clearance
Bachelor's degree

Nice To Haves

Experience with human-in-the-loop (HITL) evaluation, AI red teaming, or assessing conversational interfaces for safety and hallucination mitigation
Experience with front-end development technologies, such as React or TypeScript to support end-to-end user-facing product delivery
Experience deploying and managing analytical dashboards or mechanisms to track user interactions and model performance
Knowledge of user experience (UX) best practices, including conversational AI and generative interfaces
Security+ Certification

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Own and define the direction of critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world class solutions.
Process data and information at a massive scale.
Guide clients as they navigate the landscape of AI and ML algorithms, tools, and frameworks.
Solve real-world challenges and define AI strategy for national security customers.