Job Title: AI Engineer

Location: Annapolis Junction, MD

Eligibility: Candidate must possess an active TS/SCI with Full Scope
Polygraph clearance

Job Description:

An active Top Secret/SCI Clearance with a Full Scope Polygraph is
required.
This job is onsite in Annapolis Junction, MD with 1-2 remote days/week
depending on tasking.
We have an immediate need for an Artificial Intelligence (AI) Engineer
who will work closely with system and software engineers to design,
prototype, and integrate AI advancements into the existing RAD
architecture. This is a transformative position focused on building
solutions that augment human intelligence, streamline workflows, and
enhance the overall effectiveness of intelligence operations.
Required technical skills and responsibilities include:

Design and Development: Lead the design and development of AI-driven
solutions from conception to deployment, ensuring seamless integration
with the existing software architecture. This includes prototyping new
models, writing production-quality code, and maintaining existing AI
systems.

Collaboration and Communication: Serve as a key technical liaison,
collaborating with cross-functional teams including system engineers,
software developers, and domain experts. Effectively present and
articulate recommended AI approaches, discussing the tradeoffs and
implications of different implementations with both technical and
non-technical stakeholders.

Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on
diverse datasets (both structured and unstructured) to inform the data
model, identify data quality issues, and determine optimal input
formats for AI models.

Model Building and Evaluation: Develop, train, and evaluate a variety
of machine learning models, ensuring they meet performance and
reliability requirements. Implement robust testing and validation
strategies to ensure models are accurate and unbiased.

Continuous Improvement: Stay current with the latest advancements in
AI and machine learning, continuously seeking opportunities to apply
new technologies and methodologies to improve existing systems and
solve complex problems.

Cloud Platforms: Have experience with the Amazon Web Services (AWS)
cloud computing platform and machine learning operations (MLOps) tools
for deploying and managing machine learning models at scale.