AI Solutions Engineer

Department: Engineering

Employment Type: Full Time

Location: Arlington, VA

Compensation: $90,000 - $184,000 / year

About The Role:

Innovative Defense Technologies (IDT), a leading defense technology company, is seeking an AI Solutions Developer to be part of our Missile Defense team and based out of our Mount Laurel, NJ, Arlington, VA or San Diego, CA locations.

• All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.
• This is an on-site position requiring at least 5 days in office, based out of our Arlington, VA, San Diego, CA or Mt. Laurel, NJ location.

• Apply AI technologies to improve productivity, decision-making, and automation across engineering and business functions.
• Research, evaluate, and prototype AI tools, frameworks, and platforms to address internal operational challenges.
• Implement practical AI-enabled solutions that integrate into existing workflows and systems.
• Collaborate with internal stakeholders across engineering, security, program management, and business teams to understand problems and deliver impactful solutions.
• Integrate AI capabilities into existing development and operational processes while ensuring usability, reliability, and maintainability.
• Support internal adoption of AI technologies by providing guidance, demonstrations, and knowledge sharing.
• Guide the organization on emerging AI trends, platforms, and best practices.
• Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, particularly in sensitive and classified environments.
• Continuously evaluate and refine AI adoption strategies to align with evolving business needs and technology landscapes.

• 3+ years of professional software or technical experience.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
• U.S. citizenship.
• Ability to travel up to 10% as needed.
• Strong understanding and experience in applying modern AI technologies—particularly large language models (LLMs), generative AI tools, and AI‑assisted development workflows—and practical approaches for integrating them into real‑world systems.
• Experience designing and implementing technical solutions that leverage AI technologies to improve productivity, automation, or decision‑making.
• Ability to rapidly prototype and evaluate new technologies to determine their potential value to the organization.
• Understanding of secure software development practices and AI‑specific security considerations.
• Familiarity working within environments that require strong security and compliance controls.
• Strong problem‑solving skills and the ability to independently define requirements, scope initiatives, and deliver practical solutions.
• Strong communication skills, including the ability to explain complex technical concepts to diverse audiences.
• Demonstrated ability to collaborate across engineering, security, compliance, and business teams.
• Comfortable balancing innovation with security, compliance, and operational constraints.

• Knowledge of Naval tactical systems like Aegis, SSDS, SLQ‑32, or other similar systems.
• Familiarity with MLOps practices such as model lifecycle management, monitoring, and CI/CD integration.
• Experience integrating AI capabilities into Dev Sec Ops  or CI/CD pipelines.
• Hands‑on experience deploying AI‑enabled tools or applications into production environments.
• Experience working with generative AI technologies, large language models, or natural language processing tools.
• Knowledge of NIST 800‑53, DISA STIGs and Risk Management Framework processes, or other compliance frameworks specifically on AI systems.
• Experience working in defense, government, or other mission‑critical domains.
• Experience evaluating emerging technologies and guiding organizational adoption.
• Understanding of change management strategies for introducing new technologies into established workflows.

$90,000 - $150,000 or $114,000 - $184,000

This amount may not be reflective of actual compensation that may be…