Applied AI Engineer

About the Role

As an experienced engineer, your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. 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. 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, including processing 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-related customers.

Key Responsibilities

• Train, test, deploy, and maintain models that learn from data.
• Apply best-fit ML algorithms and technologies.
• Process data and information at a massive scale.
• Guide clients through AI and ML algorithms, tools, and frameworks.
• Translate mission needs into refined, business-facing AI capabilities.
• Pivot quickly between different domains and use cases, adapting AI solutions to various operational requirements.

Requirements & Tech Stack

• Experience with 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.
• Experience with rapid UI frameworks such as Streamlit or Gradio to demonstrate AI capabilities.
• Ability to work closely with Mission Integration teams and product stakeholders.
• Ability to obtain a Secret clearance.
• Bachelor's degree.

Nice to Have

• 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.
• Experience with user experience (UX) best practices specifically tailored to conversational AI and generative interfaces.
• Secret clearance.
• Security+ Certification.

Clearance

• Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

• Projected compensation range: $77,600.00 to $176,000.00 (annualized USD).